Relevant bibliographies by topics / GA-based techniques

Academic literature on the topic 'GA-based techniques'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "GA-based techniques"

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Lin, Wen-Pin, and Jih-Gau Juang. "Aircraft Landing Control Based on CMAC and GA Techniques." IFAC Proceedings Volumes 41, no. 2 (2008): 8576–81. http://dx.doi.org/10.3182/20080706-5-kr-1001.01450.

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Abed, Wisam Najm AL-Din, Adham Hadi Saleh, and Abbas Salman Hameed. "Speed Control of PMDCM Based GA and DS Techniques." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (December 1, 2018): 1467. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1467-1475.

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<span lang="EN-US">Permanent magnet direct current motors (PMDCM) are widely used in various applications such as space technologies, personal computers, medical, military, robotics, electrical vehicles, etc. In this paper, the mathematical model of PMDCM is designed and simulated using MATLAB software. The PMDCM speed is controlled using rate feedback controller due to its ability of improving system damping. To improve the controller performance, it’s parameters are tuned using genetic algorithm (GA) and direct search (DS) techniques. The tuning process based on different performance criteria. The most four common performance criteria used in this paper are JIAE (Integral of Absolute Error), JISE (Integral of Square Error), JITAE (Integral of Time-Weighted Absolute Error), and JITSE (Integral of Time-Weighted Square Error). The results obtained from these evolutionary techniques are compared. The results show an obvious improvement in system performance including enhancing the transient and steady state of PMDCM speed responses for all performance criteria.</span>
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Coello, Carlos A. "An updated survey of GA-based multiobjective optimization techniques." ACM Computing Surveys 32, no. 2 (June 2000): 109–43. http://dx.doi.org/10.1145/358923.358929.

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Chen, Shyi-Ming, and Yu-Chuan Chang. "Weighted Fuzzy Rule Interpolation Based on GA-Based Weight-Learning Techniques." IEEE Transactions on Fuzzy Systems 19, no. 4 (August 2011): 729–44. http://dx.doi.org/10.1109/tfuzz.2011.2142314.

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Safari, Amin, Ali Ahmadian, and Masoud Aliakbar Golkar. "Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation." Journal of Electrical Engineering 64, no. 3 (May 1, 2013): 133–42. http://dx.doi.org/10.2478/jee-2013-0020.

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Recently, honey bee mating optimization (HBMO) technique and genetic algorithms (GA) have attracted considerable attention among various modern heuristic optimization techniques. This paper presents the application and performance comparison of HBMO and GA optimization techniques, for coordinated design of STATCOM and PSS. The design objective is to enhance damping of the low frequency oscillations. The design problem of the controller is formulated as an optimization problem and both HBMO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques for damping low frequency oscillations are tested and demonstrated through nonlinear time-domain simulation and some performance indices studies to different disturbances over a wide range of loading conditions. The results show that the designed controller by HBMO performs better than GA in finding the solution. Moreover, the system performance analysis under different operating conditions show that the φ based controller is superior to the C based controller.
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Priya, A. Saravana, and Dr Rajeswari Mukesh. "GA based Feature Selection for Multimodal Biometric Authentication." Indian Journal of Computer Science and Engineering 12, no. 2 (April 20, 2021): 526–38. http://dx.doi.org/10.21817/indjcse/2021/v12i2/211202163.

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Multi-modal biometric authentication effectively replaces uni-modal biometric authentication system towards addressing a wide range of technical glitches in identity management and authentication. Legitimacy is playing a vital role in banking, military, and healthcare sectors where highly secure, strategic and confidential data transmission is involved. By integrating many independent biometric systems, one can overcome the problems of spoofing. However, there is lack of a simple, efficient and sufficient biometric authentication. Hence, the present study focuses on designing and implementing a multi-modal biometric authentication using a Genetic Algorithm (GA) based feature extraction method. The proposed research focuses on extracting human Skeleton and Human face feature using 3D Imaging technology. This modelling technique is used to capture human joints including the depth data to improve the efficiency of the system. The proposed research is subdivided into three phases. These are, image preprocessing (MinMax method), feature extraction using Heuristic Optimization Techniques (HOT), and Personnel recognition via the Artificial Neural Network (ANN). The Performance of the proposed method is evaluated based on the measure of FAR, FRR and accuracy. Finally, the performance of proposed approach is compared with existing techniques like GA, Neural network, etc. Combined Biometric is done in an unobtrusive way whereas other human recognition needs physical contact.
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Anitha, J., C. Kezi Selva Vijila, and D. Jude Hemanth. "A Hybrid Genetic Algorithm based Fuzzy Approach for Abnormal Retinal Image Classification." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 3 (July 2010): 29–43. http://dx.doi.org/10.4018/jcini.2010070103.

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Fuzzy approaches are one of the widely used artificial intelligence techniques in the field of ophthalmology. These techniques are used for classifying the abnormal retinal images into different categories that assist in treatment planning. The main characteristic feature that makes the fuzzy techniques highly popular is their accuracy. But, the accuracy of these fuzzy logic techniques depends on the expertise knowledge, which indirectly relies on the input samples. Insignificant input samples may reduce the accuracy that further reduces the efficiency of the fuzzy technique. In this work, the application of Genetic Algorithm (GA) for optimizing the input samples is explored in the context of abnormal retinal image classification. Abnormal retinal images from four different classes are used in this work and a comprehensive feature set is extracted from these images as classification is performed with the fuzzy classifier and also with the GA optimized fuzzy classifier. Experimental results suggest highly accurate results for the GA based classifier than the conventional fuzzy classifier.
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ZAKA, IMRAN, HABIB UR REHMAN, SYED ISMAIL SHAH, and JAMIL AHMAD. "PSO- AND GA-BASED NARROWBAND JAMMER EXCISION IN CDMA." Journal of Circuits, Systems and Computers 19, no. 01 (February 2010): 123–38. http://dx.doi.org/10.1142/s0218126610005949.

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Narrowband jammer excision is formulated as an optimization problem in this paper. Optimal filter weights are calculated/searched for by the computational intelligence techniques. We compare the error rate performance, complexity, and implementation issues of various computational intelligence techniques like Particle Swarm Optimization (PSO), Genetic Algorithm, and Least Mean Square (LMS). These techniques update the excision filter weights iteratively till the convergence criteria has been achieved. Bit Error Rate performance shows these techniques effectively suppress the Narrow Band Interference. It has been observed that PSO-based algorithm with tuned parameters outperforms other schemes of PSO and the other algorithms. It approaches the optimum performance in fewer iterations with ease in implementation.
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Al-Dallal, Ammar, Rasha S. Abdulwahab, and Ramzi El-Haddadeh. "IR with and without GA." International Journal of Applied Metaheuristic Computing 4, no. 1 (January 2013): 1–20. http://dx.doi.org/10.4018/jamc.2013010101.

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This paper proposes two IR approaches; the first is IR with GA, which is a GA-based IR approach. This approach introduces modified GA operators that allow IR with GA to achieve high performance. The second IR model is IR without GA, which is based on traditional IR approach. Both enhance the precision and recall of the web search by improving the document representation where an enhanced inverted index is developed for this purpose. Moreover, these two models use the same proposed evaluation function for measuring the document relativity to the user query. A number of experiments were conducted to compare the performance of the two suggested approaches with existing techniques. The two suggested approaches were then compared experimentally with another two techniques of classical IR namely Okapi-BM25 fitness function and Bayesian inference network model from documents quality of retrieval perspective. The obtained results demonstrate a good level of enhancement to the recall and precision times. In addition, the documents retrieved by IR with and without GA are more accurate and relevant to the queries than that retrieved by other techniques. Overall, the two suggested approaches provide a promising technique in web search domain delivering a high quality search results in terms of recall and precision.
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Jerop, Brenda, and Davies Rene Segera. "An Efficient PCA-GA-HKSVM-Based Disease Diagnostic Assistant." BioMed Research International 2021 (October 20, 2021): 1–10. http://dx.doi.org/10.1155/2021/4784057.

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Disease diagnosis faces challenges such as misdiagnosis, lack of diagnosis, and slow diagnosis. There are several machine learning techniques that have been applied to address these challenges, where a set of symptoms is applied to a classification model that predicts the presence or absence of a disease. To improve on the performance of these techniques, this paper presents a technique which involves feature selection using principal component analysis (PCA), a hybrid kernel-based support vector machine (HKSVM) classification model and hyperparameter optimization using genetic algorithm (GA). The HKSVM in this paper introduces a new way of combining three kernels: Radial basis function (RBF), linear, and polynomial. Combining local (RBF) and global (linear and polynomial) kernels has the effect of improved model performance. This is because the local kernels are better able to distinguish points closer to each other while the global kernels are more suited to distinguish points that are far away from each other. The PCA-GA-HKSVM is used on 7 different medical datasets, with two datasets being multiclass datasets and 5 datasets being binary. Performance evaluation metrics used were accuracy, precision, and recall. It was observed that the PCA-GA-HKSVM offered better performance than the single kernel support vector machines (SVMs).
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Dissertations / Theses on the topic "GA-based techniques"

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Doungsa-ard, Chartchai. "Generation of Software Test Data from the Design Specification Using Heuristic Techniques. Exploring the UML State Machine Diagrams and GA Based Heuristic Techniques in the Automated Generation of Software Test Data and Test Code." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5380.

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Software testing is a tedious and very expensive undertaking. Automatic test data generation is, therefore, proposed in this research to help testers reduce their work as well as ascertain software quality. The concept of test driven development (TDD) has become increasingly popular during the past several years. According to TDD, test data should be prepared before the beginning of code implementation. Therefore, this research asserts that the test data should be generated from the software design documents which are normally created prior to software code implementation. Among such design documents, the UML state machine diagrams are selected as a platform for the proposed automated test data generation mechanism. Such diagrams are selected because they show behaviours of a single object in the system. The genetic algorithm (GA) based approach has been developed and applied in the process of searching for the right amount of quality test data. Finally, the generated test data have been used together with UML class diagrams for JUnit test code generation. The GA-based test data generation methods have been enhanced to take care of parallel path and loop problems of the UML state machines. In addition the proposed GA-based approach is also targeted to solve the diagrams with parameterised triggers. As a result, the proposed framework generates test data from the basic state machine diagram and the basic class diagram without any additional nonstandard information, while most other approaches require additional information or the generation of test data from other formal languages. The transition coverage values for the introduced approach here are also high; therefore, the generated test data can cover most of the behaviour of the system.
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Ameli, Mostafa. "Heuristic Methods for Calculating Dynamic Traffic Assignment Simulation-based dynamic traffic assignment: meta-heuristic solution methods with parallel computing Non-unicity of day-to-day multimodal user equilibrium: the network design history effect Improving traffic network performance with road banning strategy: a simulation approach comparing user equilibrium and system optimum." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSET009.

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Les systèmes de transport sont caractérisés de manière dynamique non seulement par des interactions non linéaires entre les différents composants, mais également par des boucles de rétroaction entre l'état du réseau et les décisions des utilisateurs. En particulier, la congestion du réseau impacte à la fois la répartition de la demande locale en modifiant les choix d’itinéraire et la demande multimodale globale. Selon les conditions du réseau, ils peuvent décider de changer, par exemple, leur mode de transport. Plusieurs équilibres peuvent être définis pour les systèmes de transport. L'équilibre de l'utilisateur correspond à la situation dans laquelle chaque utilisateur est autorisé à se comporter de manière égoïste et à minimiser ses propres frais de déplacement. L'optimum du système correspond à une situation où le coût total du transport de tous les utilisateurs est minimal. Dans ce contexte, l’étude vise à calculer les modèles de flux d'itinéraires dans un réseau prenant en compte différentes conditions d’équilibre et à étudier l’équilibre du réseau dans un contexte dynamique. L'étude se concentre sur des modèles de trafic capables de représenter une dynamique du trafic urbain à grande échelle. Trois sujets principaux sont abordés. Premièrement, des méthodes heuristiques et méta-heuristiques rapides sont développées pour déterminer les équilibres avec différents types de trafic. Deuxièmement, l'existence et l'unicité des équilibres d'utilisateurs sont étudiées. Lorsqu'il n'y a pas d'unicité, la relation entre des équilibres multiples est examinée. De plus, l'impact de l'historique du réseau est analysé. Troisièmement, une nouvelle approche est développée pour analyser l’équilibre du réseau en fonction du niveau de la demande. Cette approche compare les optima des utilisateurs et du système et vise à concevoir des stratégies de contrôle afin de déplacer la situation d'équilibre de l'utilisateur vers l'optimum du système
Transport systems are dynamically characterized not only by nonlinear interactions between the different components but also by feedback loops between the state of the network and the decisions of users. In particular, network congestion affects both the distribution of local demand by modifying route choices and overall multimodal demand. Depending on the conditions of the network, they may decide to change for example their transportation mode. Several equilibria can be defined for transportation systems. The user equilibrium corresponds to the situation where each user is allowed to behave selfishly and to minimize his own travel costs. The system optimum corresponds to a situation where the total transport cost of all the users is minimum. In this context, the study aims to calculate route flow patterns in a network considering different equilibrium conditions and study the network equilibrium in a dynamic setting. The study focuses on traffic models capable of representing large-scale urban traffic dynamics. Three main issues are addressed. First, fast heuristic and meta-heuristic methods are developed to determine equilibria with different types of traffic patterns. Secondly, the existence and uniqueness of user equilibria is studied. When there is no uniqueness, the relationship between multiple equilibria is examined. Moreover, the impact of network history is analyzed. Thirdly, a new approach is developed to analyze the network equilibrium as a function of the level of demand. This approach compares user and system optimums and aims to design control strategies in order to move the user equilibrium situation towards the system optimum
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Dahal, Keshav P., G. M. Burt, J. R. McDonald, and S. J. Galloway. "GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems." 2000. http://hdl.handle.net/10454/952.

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Proposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid approach for the scheduling of generator maintenance in power systems using an integer representation. The adapted approach uses the probabilistic acceptance criterion of simulated annealing within the genetic algorithm framework. A case study is formulated in this paper as an integer programming problem using a reliability-based objective function and typical problem constraints. The implementation and performance of the solution technique are discussed. The results in this paper demonstrate that the technique is more effective than approaches based solely on genetic algorithms or solely on simulated annealing. It therefore proves to be a valid approach for the solution of generator maintenance scheduling problems
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Mokkapati, Sudha Siva Rani. "Selective area epitaxy for integration of In(Ga)As/GaAs quantum dot based optoelectronic devices and comparison with intermixing techniques." Phd thesis, 2008. http://hdl.handle.net/1885/146651.

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Sashi, Kumar G. N. "Shape Optimization Using A Meshless Flow Solver And Modern Optimization Techniques." Thesis, 2006. http://hdl.handle.net/2005/430.

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The development of a shape optimization solver using the existing Computational Fluid Dynamics (CFD) codes is taken up as topic of research in this thesis. A shape optimizer was initially developed based on Genetic Algorithm (GA) coupled with a CFD solver in an earlier work. The existing CFD solver is based on Kinetic Flux Vector Splitting and uses least squares discretization. This solver requires a cloud of points and their connectivity set, hence this CFD solver is a meshless solver. The advantage of a meshless solver is utilised in avoiding re-gridding (only connectivity regeneration is required) after each shape change by the shape optimizer. The CFD solver is within the optimization loop, hence evaluation of CFD solver after each shape change is mandatory. Although the earlier shape optimizer developed was found to be robust, but it was taking enoromous amount of time to converge to the optimum solution (details in Appendix). Hence a new evolving method, Ant Colony Optimization (ACO), is implemented to replace GA. A shape optimizer is developed coupling ACO and the meshless CFD solver. To the best of the knowledge of the present author, this is the first time when ACO is implemented for aerodynamic shape optimization problems. Hence, an exhaustive validation has become mandatory. Various test cases such as regeneration problems of (1) subsonic - supersonic nozzle with a shock in quasi - one dimensional flow (2) subsonic - supersonic nozzle in a 2-dimensional flow field (3) NACA 0012 airfoil in 2-dimensional flow and (4) NACA 4412 airfoil in 2-dimensional flow have been successfully demonstrated. A comparative study between GA and ACO at algorithm level is performed using the travelling salesman problem (TSP). A comparative study between the two shape optimizers developed, i.e., GA-CFD and ACO-CFD is carried out using regeneration test case of NACA 4412 airfoil in 2-dimensional flow. GA-CFD performs better in the initial phase of optimization and ACO-CFD performs better in the later stage. We have combined both the approaches to develop a hybrid GA-ACO-CFD solver such that the advantages of both GA-CFD and ACO-CFD are retained with the hybrid method. This hybrid approach has 2 stages, namely, (Stage 1) initial optimum search by GA-CFD (coarse search), the best members from the optimized solution from GA-CFD are segregated to form the input for the fine search by ACO-CFD and (Stage 2) final optimum search by ACO-CFD (fine search). It is observed that this hybrid method performs better than either GA-CFD or ACO- CFD, i.e., hybrid method attains better optimum in less number of CFD calls. This hybrid method is applied to the following test cases: (1) regeneration of subsonic-supersonic nozzle with shock in quasi 1-D flow and (2) regeneration of NACA 4412 airfoil in 2-dimensional flow. Two applications on shape optimization, namely, (1) shape optimization of a body in strongly rotating viscous flow and (2) shape optimization of a body in supersonic flow such that it enhances separation of binary species, have been successfully demonstrated using the hybrid GA-ACO-CFD method. A KFVS based binary diffusion solver was developed and validated for this purpose. This hybrid method is now in a state where industrial shape optimization applications can be handled confidently.
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Dahal, Keshav P., C. J. Aldridge, J. R. McDonald, and G. M. Burt. "A GA-based technique for the scheduling of storage tanks." 1999. http://hdl.handle.net/10454/951.

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This paper proposes the application of a genetic algorithm based methodology for the scheduling of storage tanks. The proposed approach is an integration of GA and heuristic rule-based techniques, which decomposes the complex mixed integer optimisation problem into integer and real number subproblems. The GA string considers the integer problem, and the heuristic approach solves the real number problems within the GA framework. The algorithm is demonstrated for a test problem related to a water treatment facility at a port, and has been found to give a significantly better schedule than those generated using a heuristic-based approach.
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游裕昌. "A GA-based Clustering Technique for Missing Value Processing in Large Databases." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/30296056117405316201.

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碩士
國立臺灣科技大學
電子工程系
92
Data mining has become a very popular research area in recent years. The purpose of data mining lies in extracting useful knowledge from the large database, and offering enterprises the consultation while making policies. However, the quality of data analysis results will be affected if there exist missing values in the database. Thus far, the common practice has been to ignore observations with missing value. In this paper, we continue the advantage of using clustering analysis to deal with missing value problem proposed in the past. Here, we propose a new method to adjust the interval of all attributes from all training data by genetic algorithms. Data with different interval combination is regarded as different cluster. For same cluster we can compute values to meet the data with missing value. Finally, we use the air quality monitoring data to do our experiment. Through experiment result, the proposed method was shown to perform better accuracy and efficiency then other methods proposed in the past.
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Huang, Jui-Wen, and 黃瑞文. "A Text-Independent Speaker Identification Technique Based on ICA and GA Approach." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/55184299692385881234.

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碩士
國立交通大學
電機與控制工程系
91
This thesis proposed a new text-independent speaker identification technique. A popular decomposition called principal component analysis (PCA) is widely used for feature extraction. PCA has the ability to find out the principal components which are mutually orthogonal. We may also reduce the dimension of feature through these principal components. In the beginning, we construct a time-frequency covariance matrix using the original feature extracted from each frame. Then use PCA to obtain a transformation matrix to get better feature. However, the identification rate is not very good. So we propose some approaches to improve the performance. At first, we propose another decomposition called independent component analysis (ICA). ICA is more and more popular in recent year because it ability to find out the independent components which are mutually independent. Using ICA, we get an improvement at most 3.61% than using PCA. Besides, we introduce an optimizer called genetic algorithm (GA). It can provide an optimal solution from all. We want apply GA to reduce the dimension while still maintaining good identification rate. GA optimizer can choose the “best” set of the ICA basis. Using GA optimizer, we get an improvement at most 4.17% than using randomly chosen set of ICA basis; the result is even better than using all PCA basis.
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YEH, Chi-Li, and 葉智禮. "Investigation of Ga-doped ZnO Transparent Conducting Thin Films Deposited by Electron Beam Evaporation Technique on GaN-based Blue Light Emitting Diode." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/32604674125564786639.

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碩士
國立中央大學
光電科學研究所
96
In this study, we adopt E-Gun evaporation system to deposit Gallium doped Zinc Oxide (GZO). We analyze the optical and electrical properties of GZO thin film and also discuss the contact property on p-GaN. Finally, we compare the electrical and optical characteristics of GZO TCL LEDs with conventional ITO TCL LEDs. At the Ga content of 6At.%, we obtained the lowest resistivity (ρ) was 2.44×10-4 ohm-cm which was at the same order of ITO thin film (1×10-4 ohm-cm) and the transmittance was the above 90% at visible range which was comparable with ITO thin film. We prepared two as-deposited GZO films on p-GaN and LEDs of different resistivities, 6.31×10-4 ohm-cm (P-1) and 3.56×10-4 ohm-cm (P-2), to study the electrical contact property and compared with ITO film with resistivity of 1.73×10-4 ohm-cm (P-ITO). The specific contact resistances (ρc) of P-1, P-2 and P-ITO were 7.49×10-1 ohm-cm2, 1.48×10-1 ohm-cm2 and 2.61 ×10-2 ohm-cm2, respectively. After the chip process, we characterized the electrical and optical properties of GZO-LEDs and ITO-LEDs at the injection current of 20mA. The forward voltage of GZO LED-1, GZO LED-1 and ITO-LED were 3.89 V, 3.47 V and 3.35 V, respectively. The forward voltage of GZO-LEDs exhibited 0.54V and 0.12V higher than that of ITO-LED. The output powers were 2.02mW, 1.98mW, and 1.7mW for GZO LED-1, GZO LED-2 and ITO LED, respectively. The output powers were enhanced by 19% and 16% for GZO LED-1, GZO LED-2 compared with that of ITO-LED. On the other hand, the external quantum efficiency were 3.63% and 3.55% for GZO LED-1, GZO LED-2 which showed 18.6% and 16% enhancement compared with that of ITO-LED,3.06%. We also did annealing process for GZO films and then did the chip process. However, we found that? ρ and ρc would be deteriorated after annealing process. At 20mA injection current, the forward voltages were higher than those as-deposit and degradations of EQE and output powers were also observed.
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Book chapters on the topic "GA-based techniques"

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Baldi, M., F. Corno, M. Rebaudengo, Matteo Sonza Reorda, and Giovanni Squillero. "GA-Based Verification of Network Protocols Performance." In Telecommunications Optimization: Heuristic and Adaptive Techniques, 185–98. Chichester, UK: John Wiley & Sons, Ltd, 2001. http://dx.doi.org/10.1002/047084163x.ch11.

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Glover, Robin, and Peter Sharpe. "Efficient GA based techniques for automating the design of classification models." In Advances in Intelligent Data Analysis Reasoning about Data, 149–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0052837.

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Tailor, Anita Ravi, and Jayesh M. Dhodiya. "GA-Based Hybrid Approach to Solve Fuzzy Multi-objective Optimization Model of Multi-application-Based COTS Selection Problem." In Advanced Engineering Optimization Through Intelligent Techniques, 75–86. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8196-6_8.

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Joshi, Alok, Aashi Garg, Esha Garg, and Nayna Garg. "PAPR Reduction Analysis of OFDM Systems Using GA-, PSO-, and ABC-Based PTS Techniques." In Lecture Notes in Electrical Engineering, 145–55. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2553-3_15.

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Spirov, A. V., and A. S. Kadyrov. "Transposon element technique applied to GA-based John Muir's trail test." In High-Performance Computing and Networking, 925–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0037235.

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Alarabi, Ali, and Kamta Nath Mishra. "Artificial Neural Network Based Technique Compare with "GA" for Web Page Classification." In Networked Digital Technologies, 699–705. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14306-9_69.

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Kumar, M. Prema, V. Veer Raju, and P. Rajesh Kumar. "Image Fusion of X-ray Mammography Using Weighted Averaging GA-Based SWT Technique." In Lecture Notes in Electrical Engineering, 641–50. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3828-5_66.

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Padhi, Ruchika, and Bhabani Sankar Gouda. "GA-Based Fault Diagnosis Technique for Enhancing Network Lifetime of Wireless Sensor Network." In Nature Inspired Computing for Wireless Sensor Networks, 39–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2125-6_3.

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Gouda, Kanhu Charan, Santosh Kumar Das, Om Prakash Dubey, and Efrén Mezura Montes. "A GA-Based Intelligent Traffic Management Technique for Wireless Body Area Sensor Networks." In Nature Inspired Computing for Wireless Sensor Networks, 57–75. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2125-6_4.

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Narender, Kethavath, and C. Puttamadappa. "Optimal Resource Allocation in OFDMA-LTE System to Mitigate Interference Using GA rule-based Mostly HBCCS Technique." In Proceedings of the Third International Conference on Computational Intelligence and Informatics, 547–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1480-7_46.

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Conference papers on the topic "GA-based techniques"

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Das, Arpita, and Mahua Bhattacharya. "GA Based Neuro Fuzzy Techniques for Breast Cancer Identification." In 2008 International Machine Vision and Image Processing Conference (IMVIP). IEEE, 2008. http://dx.doi.org/10.1109/imvip.2008.19.

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Thakare, A. D., C. A. Dhote, and A. N. Chaudhari. "GA Based Information Retrieval System Using Dimensionality Reduction Techniques." In Fifth International Conference on Advances in Recent Technologies in Communication and Computing (ARTCom 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.2207.

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Arora, Anuja, and Madhavi Sinha. "State based test case generation using VCL-GA." In 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). IEEE, 2014. http://dx.doi.org/10.1109/icicict.2014.6781358.

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Garcia-Andrés, Xavier, Jorge Gutiérrez-Gil, Víctor Tomás Andrés, José Martínez-Casas, and Francisco David Denia. "Rolling noise reduction through GA-based wheel shape optimization techniques." In VI ECCOMAS Young Investigators Conference. València: Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/yic2021.2021.12577.

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Abstract:
Railway rolling noise is nowadays a major source of acoustic pollution in urban areas, with nearly up to 12 million people daily affected in Europe by this phenomenon [1]. Hence, the search for ways of decreasing such noise radiation has become a highly active and significant research field. Following this approach, a Genetic Algorithms-based shape optimization of the railway wheel [2] is developed with the aim of minimizing rolling noise. Different approaches are considered to address the problem, such as directly minimizing radiated Sound poWer Level (SWL) or using the maximization of the natural frequencies if computational efficiency is especially critical. A parametric Finite Element model is implemented for the wheel based on the most relevant geometric parameters in rolling noise radiation. For the acoustic calculation, the sound radiation models used in the TWINS software [3] are adopted, which also accounts for the whole dynamics of the wheel/rail system. Furthermore, for every candidate wheel proposed, a structural analysis is computed in order to check design feasibility in accordance with the corresponding standard [4]. In all cases, new geometries for the wheel cross section are achieved that reduce the radiated rolling noise. REFERENCES [1] WHO European Centre for Environment and Health, “Burden of disease from environmental noise”, WHO, Tech. Rep., 2011 [2] X. Garcia-Andrés, J. Gutiérrez-Gil, J. Martínez-Casas and F. D. Denia, “Wheel shape optimization approaches to reduce railway rolling noise”, Struct. Multidiscipl. Optim., Vol. 62, pp. 2555-2570, (2020). [3] D. J. Thompson, B. Hemsworth and N. Vincent, “Experimental validation of the TWINS prediction program for rolling noise, part 1: Description of the model and method”, J. Sound Vib., Vol. 193 (1), pp. 123–135, (1996). [4] UNE, “Railway applications. Wheelsets and bogies. Monobloc wheels. Technical approval procedure. Part 1: Forged and rolled wheels. UNE-EN-13979-1:2006”, Asociación Española de Normalización (UNE), Technical Standard, 2011.
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Oreifej, Rashad, Carthik Sharma, and Ronald DeMara. "Expediting GA-Based Evolution Using Group Testing Techniques for Reconfigurable Hardware." In 2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006). IEEE, 2006. http://dx.doi.org/10.1109/reconf.2006.307760.

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Sharma, Manik, Rajinder Virk, and Gurvinder Singh. "Parametric analysis of different GA based distributed DSS Query Optimizer models." In 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT). IEEE, 2016. http://dx.doi.org/10.1109/icctict.2016.7514546.

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Sharma, Richa, K. P. S. Rana, and Vineet Kumar. "Statistical analysis of GA based PID controller optimization for robotic manipulator." In 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). IEEE, 2014. http://dx.doi.org/10.1109/icicict.2014.6781368.

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Prasad, Sanjana, and J. Ramesh. "Partial transmit sequence based PAPR reduction with GA and PSO optimization techniques." In 2017 4th International Conference on Innovations in Information, Embedded and Communication Systems. IEEE, 2017. http://dx.doi.org/10.1109/iciiecs.2017.8276004.

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Jarndal, Anwar, Sadeque Hamdan, and Maamar Bettayeb. "On Neural Networks Modeling Based on GA, PSO and GW Optimization Techniques." In 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO). IEEE, 2019. http://dx.doi.org/10.1109/icmsao.2019.8880450.

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Tianyou Zhang, Xiuju Fu, R. S. M. Goh, Chee Keong Kwoh, and G. K. K. Lee. "A GA-SVM feature selection model based on high performance computing techniques." In 2009 IEEE International Conference on Systems, Man and Cybernetics. SMC 2009. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346120.

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