Academic literature on the topic 'GA-based techniques'
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Journal articles on the topic "GA-based techniques"
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.
Full textAbed, 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.
Full textCoello, 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.
Full textChen, 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.
Full textSafari, 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.
Full textPriya, 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.
Full textAnitha, 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.
Full textZAKA, 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.
Full textAl-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.
Full textJerop, 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.
Full textDissertations / Theses on the topic "GA-based techniques"
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.
Full textAmeli, 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.
Full textTransport 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
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.
Full textProposes 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
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.
Full textSashi, Kumar G. N. "Shape Optimization Using A Meshless Flow Solver And Modern Optimization Techniques." Thesis, 2006. http://hdl.handle.net/2005/430.
Full textDahal, 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.
Full textThis 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.
游裕昌. "A GA-based Clustering Technique for Missing Value Processing in Large Databases." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/30296056117405316201.
Full text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.
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.
Full text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.
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.
Full text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.
Book chapters on the topic "GA-based techniques"
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.
Full textGlover, 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.
Full textTailor, 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.
Full textJoshi, 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.
Full textSpirov, 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.
Full textAlarabi, 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.
Full textKumar, 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.
Full textPadhi, 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.
Full textGouda, 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.
Full textNarender, 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.
Full textConference papers on the topic "GA-based techniques"
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.
Full textThakare, 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.
Full textArora, 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.
Full textGarcia-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.
Full textOreifej, 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.
Full textSharma, 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.
Full textSharma, 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.
Full textPrasad, 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.
Full textJarndal, 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.
Full textTianyou 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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