Artigos de revistas sobre o tema "Encodings and local search operators"
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Raidl, Günther R., e Jens Gottlieb. "Empirical Analysis of Locality, Heritability and Heuristic Bias in Evolutionary Algorithms: A Case Study for the Multidimensional Knapsack Problem". Evolutionary Computation 13, n.º 4 (dezembro de 2005): 441–75. http://dx.doi.org/10.1162/106365605774666886.
Texto completo da fonteVarnamkhasti, M. Jalali. "A genetic algorithm rooted in integer encoding and fuzzy controller". IAES International Journal of Robotics and Automation (IJRA) 8, n.º 2 (1 de junho de 2019): 113. http://dx.doi.org/10.11591/ijra.v8i2.pp113-124.
Texto completo da fonteGao, Yilong, Zhiqiang Xie, Xinyang Liu, Wei Zhou e Xu Yu. "Integrated scheduling algorithm based on the priority constraint table for complex products with tree structure". Advances in Mechanical Engineering 12, n.º 12 (dezembro de 2020): 168781402098520. http://dx.doi.org/10.1177/1687814020985206.
Texto completo da fonteJalali Varnamkhasti, M., e L. S. Lee. "A Fuzzy Genetic Algorithm Based on Binary Encoding for Solving Multidimensional Knapsack Problems". Journal of Applied Mathematics 2012 (2012): 1–23. http://dx.doi.org/10.1155/2012/703601.
Texto completo da fonteJiang, Tianhua. "A Hybrid Grey Wolf Optimization for Job Shop Scheduling Problem". International Journal of Computational Intelligence and Applications 17, n.º 03 (setembro de 2018): 1850016. http://dx.doi.org/10.1142/s1469026818500165.
Texto completo da fonteYang, Jinfeng, e Hua Xu. "Hybrid Memetic Algorithm to Solve Multiobjective Distributed Fuzzy Flexible Job Shop Scheduling Problem with Transfer". Processes 10, n.º 8 (1 de agosto de 2022): 1517. http://dx.doi.org/10.3390/pr10081517.
Texto completo da fonteWeise, Thomas. "Software - motipy: the Metaheuristic Optimization in Python Library". ACM SIGEVOlution 16, n.º 4 (dezembro de 2023): 1–2. http://dx.doi.org/10.1145/3638461.3638464.
Texto completo da fonteZhang, L., e U. Kleine. "A novel bottom-left packing genetic algorithm for analog module placement". Advances in Radio Science 1 (5 de maio de 2003): 191–96. http://dx.doi.org/10.5194/ars-1-191-2003.
Texto completo da fonteSalcedo-Sanz, S., J. Del Ser e Z. W. Geem. "An Island Grouping Genetic Algorithm for Fuzzy Partitioning Problems". Scientific World Journal 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/916371.
Texto completo da fonteYu, Zhenao, Peng Duan, Leilei Meng, Yuyan Han e Fan Ye. "Multi-objective path planning for mobile robot with an improved artificial bee colony algorithm". Mathematical Biosciences and Engineering 20, n.º 2 (2022): 2501–29. http://dx.doi.org/10.3934/mbe.2023117.
Texto completo da fonteVallati, Mauro, Lukáš Chrpa e Diane Kitchin. "ASAP: An Automatic Algorithm Selection Approach for Planning". International Journal on Artificial Intelligence Tools 23, n.º 06 (dezembro de 2014): 1460032. http://dx.doi.org/10.1142/s021821301460032x.
Texto completo da fonteRowe, Jonathan, Darrell Whitley, Laura Barbulescu e Jean-Paul Watson. "Properties of Gray and Binary Representations". Evolutionary Computation 12, n.º 1 (março de 2004): 47–76. http://dx.doi.org/10.1162/evco.2004.12.1.47.
Texto completo da fonteChen, Wenxiang, Darrell Whitley, Adele Howe e Brian Goldman. "Stochastic Local Search over Minterms on Structured SAT Instances". Proceedings of the International Symposium on Combinatorial Search 7, n.º 1 (1 de setembro de 2021): 125–26. http://dx.doi.org/10.1609/socs.v7i1.18403.
Texto completo da fonteGyllenberg, M., T. Koski, T. Lund e O. Nevalainen. "Clustering by Adaptive Local Search with Multiple Search Operators". Pattern Analysis & Applications 3, n.º 4 (1 de dezembro de 2000): 348–57. http://dx.doi.org/10.1007/s100440070006.
Texto completo da fonteFrisch, Alan M., Timothy J. Peugniez, Anthony J. Doggett e Peter W. Nightingale. "Solving Non-Boolean Satisfiability Problems with Stochastic Local Search: A Comparison of Encodings". Journal of Automated Reasoning 35, n.º 1-3 (19 de janeiro de 2006): 143–79. http://dx.doi.org/10.1007/s10817-005-9011-0.
Texto completo da fonteWu, J., S. F. Wang e P. Perdikaris. "A dive into spectral inference networks: improved algorithms for self-supervised learning of continuous spectral representations". Applied Mathematics and Mechanics 44, n.º 7 (julho de 2023): 1199–224. http://dx.doi.org/10.1007/s10483-023-2998-7.
Texto completo da fonteNi, Jian, e Yu Duo Li. "Heuristic Search with a New Operator Based Krisch Combination of Image Edge Detection". Advanced Materials Research 461 (fevereiro de 2012): 461–65. http://dx.doi.org/10.4028/www.scientific.net/amr.461.461.
Texto completo da fonteWanner, Elizabeth F., Ricardo H. C. Takahashi, Frederico G. Guimarães, Jaime A. Ramírez e David A. Lowther. "Hybrid genetic algorithms using quadratic local search operators". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 26, n.º 3 (19 de junho de 2007): 773–87. http://dx.doi.org/10.1108/03321640710751217.
Texto completo da fonteMüller, Felipe Martins, e Iaê Santos Bonilha. "Hyper-Heuristic Based on ACO and Local Search for Dynamic Optimization Problems". Algorithms 15, n.º 1 (24 de dezembro de 2021): 9. http://dx.doi.org/10.3390/a15010009.
Texto completo da fonteBartoccini, Umberto, Arturo Carpi, Valentina Poggioni e Valentino Santucci. "Memes Evolution in a Memetic Variant of Particle Swarm Optimization". Mathematics 7, n.º 5 (11 de maio de 2019): 423. http://dx.doi.org/10.3390/math7050423.
Texto completo da fonteTsou, Ming-Cheng. "Genetic algorithm for solving celestial navigation fix problems". Polish Maritime Research 19, n.º 3 (1 de outubro de 2012): 53–59. http://dx.doi.org/10.2478/v10012-012-0031-5.
Texto completo da fonteSengupta, Lahari, Radu Mariescu-Istodor e Pasi Fränti. "Which Local Search Operator Works Best for the Open-Loop TSP?" Applied Sciences 9, n.º 19 (23 de setembro de 2019): 3985. http://dx.doi.org/10.3390/app9193985.
Texto completo da fonteŚlażyński, Mateusz. "Research Report on Automatic Synthesis of Local Search Neighborhood Operators". Electronic Proceedings in Theoretical Computer Science 306 (19 de setembro de 2019): 433–40. http://dx.doi.org/10.4204/eptcs.306.59.
Texto completo da fonteLiu, Xiaohan, Xiaoguang Gao, Zidong Wang e Xinxin Ru. "Improved Local Search with Momentum for Bayesian Networks Structure Learning". Entropy 23, n.º 6 (15 de junho de 2021): 750. http://dx.doi.org/10.3390/e23060750.
Texto completo da fonteMerz, Peter, e Bernd Freisleben. "Fitness Landscapes, Memetic Algorithms, and Greedy Operators for Graph Bipartitioning". Evolutionary Computation 8, n.º 1 (março de 2000): 61–91. http://dx.doi.org/10.1162/106365600568103.
Texto completo da fonteTrojanowski, Krzysztof, e Artur Mikitiuk. "Wireless Sensor Network Coverage Optimization: Comparison of Local Search-Based Heuristics". Applied Computational Intelligence and Soft Computing 2022 (12 de novembro de 2022): 1–21. http://dx.doi.org/10.1155/2022/3745358.
Texto completo da fonteYang, Yaowen, Chao Wang e Chee Kiong Soh. "Hybrid Genetic Programming with Local Search Operators for Dynamic Force Identification". Journal of Computing in Civil Engineering 21, n.º 5 (setembro de 2007): 311–20. http://dx.doi.org/10.1061/(asce)0887-3801(2007)21:5(311).
Texto completo da fonteLozano, Manuel, Francisco Herrera, Natalio Krasnogor e Daniel Molina. "Real-Coded Memetic Algorithms with Crossover Hill-Climbing". Evolutionary Computation 12, n.º 3 (setembro de 2004): 273–302. http://dx.doi.org/10.1162/1063656041774983.
Texto completo da fonteDEVARENNE, ISABELLE, HAKIM MABED e ALEXANDRE CAMINADA. "INTELLIGENT NEIGHBORHOOD EXPLORATION IN LOCAL SEARCH METHOD". International Journal on Artificial Intelligence Tools 17, n.º 01 (fevereiro de 2008): 195–204. http://dx.doi.org/10.1142/s0218213008003844.
Texto completo da fonteMa, Zhenfang, Kaizhou Gao, Hui Yu e Naiqi Wu. "Solving Heterogeneous USV Scheduling Problems by Problem-Specific Knowledge Based Meta-Heuristics with Q-Learning". Mathematics 12, n.º 2 (19 de janeiro de 2024): 339. http://dx.doi.org/10.3390/math12020339.
Texto completo da fonteLUONG, THÉ VAN, NOUREDINE MELAB e EL-GHAZALI TALBI. "NEIGHBORHOOD STRUCTURES FOR GPU-BASED LOCAL SEARCH ALGORITHMS". Parallel Processing Letters 20, n.º 04 (dezembro de 2010): 307–24. http://dx.doi.org/10.1142/s0129626410000260.
Texto completo da fonteSoria-Alcaraz, Jorge A., Gabriela Ochoa, Andres Espinal, Marco A. Sotelo-Figueroa, Manuel Ornelas-Rodriguez e Horacio Rostro-Gonzalez. "A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics". Complexity 2020 (13 de fevereiro de 2020): 1–10. http://dx.doi.org/10.1155/2020/2871835.
Texto completo da fonteViana, Monique Simplicio, Orides Morandin Junior e Rodrigo Colnago Contreras. "A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem". Sensors 20, n.º 18 (22 de setembro de 2020): 5440. http://dx.doi.org/10.3390/s20185440.
Texto completo da fonteFosin, Juraj, Davor Davidović e Tonči Carić. "A GPU Implementation of Local Search Operators for Symmetric Travelling Salesman Problem". PROMET - Traffic&Transportation 25, n.º 3 (19 de junho de 2013): 225–34. http://dx.doi.org/10.7307/ptt.v25i3.300.
Texto completo da fonteMendoza, Martha, Susana Bonilla, Clara Noguera, Carlos Cobos e Elizabeth León. "Extractive single-document summarization based on genetic operators and guided local search". Expert Systems with Applications 41, n.º 9 (julho de 2014): 4158–69. http://dx.doi.org/10.1016/j.eswa.2013.12.042.
Texto completo da fontePongchairerks, Pisut. "An Enhanced Two-Level Metaheuristic Algorithm with Adaptive Hybrid Neighborhood Structures for the Job-Shop Scheduling Problem". Complexity 2020 (28 de junho de 2020): 1–15. http://dx.doi.org/10.1155/2020/3489209.
Texto completo da fonteHARYANTO, Zelania In, e Niniet Indah ARVITRIDA. "Improvement of Solution Using Local Search Operators on the Multi-Trip Electric Vehicle Routing Problem Backhaul with Time Window". Eurasia Proceedings of Science Technology Engineering and Mathematics 23 (16 de outubro de 2023): 316–31. http://dx.doi.org/10.55549/epstem.1368274.
Texto completo da fonteZamani, Reza. "Integrating Iterative Crossover Capability in Orthogonal Neighborhoods for Scheduling Resource-Constrained Projects". Evolutionary Computation 21, n.º 2 (maio de 2013): 341–60. http://dx.doi.org/10.1162/evco_a_00085.
Texto completo da fonteLi, Jun-qing, Quan-ke Pan e Kun Mao. "Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities". Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/596850.
Texto completo da fonteSatman, Mehmet Hakan, e Emre Akadal. "Machine-coded genetic operators and their performances in floating-point genetic algorithms". International Journal of Advanced Mathematical Sciences 5, n.º 1 (25 de janeiro de 2017): 8. http://dx.doi.org/10.14419/ijams.v5i1.7128.
Texto completo da fonteMolina, Daniel, Manuel Lozano, Carlos García-Martínez e Francisco Herrera. "Memetic Algorithms for Continuous Optimisation Based on Local Search Chains". Evolutionary Computation 18, n.º 1 (março de 2010): 27–63. http://dx.doi.org/10.1162/evco.2010.18.1.18102.
Texto completo da fonteGuo, Jia, Binghua Shi, Ke Yan, Yi Di, Jianyu Tang, Haiyang Xiao e Yuji Sato. "A twinning bare bones particle swarm optimization algorithm". PLOS ONE 17, n.º 5 (2 de maio de 2022): e0267197. http://dx.doi.org/10.1371/journal.pone.0267197.
Texto completo da fonteLi, Kun, e Huixin Tian. "A DE-Based Scatter Search for Global Optimization Problems". Discrete Dynamics in Nature and Society 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/303125.
Texto completo da fonteLin, Yung Chien. "A Memetic Algorithm for Mixed-Integer Optimization Problems". Applied Mechanics and Materials 284-287 (janeiro de 2013): 2970–74. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2970.
Texto completo da fonteWeise, Thomas, e Raymond Chiong. "A Novel Extremal Optimization Approach for the Template Design Problem". International Journal of Organizational and Collective Intelligence 2, n.º 2 (abril de 2011): 1–16. http://dx.doi.org/10.4018/joci.2011040101.
Texto completo da fonteWu, Daqing, Rong Yan, Hongtao Jin e Fengmao Cai. "An Adaptive Nutcracker Optimization Approach for Distribution of Fresh Agricultural Products with Dynamic Demands". Agriculture 13, n.º 7 (19 de julho de 2023): 1430. http://dx.doi.org/10.3390/agriculture13071430.
Texto completo da fonteYu, Hang, Yu Zhang, Pengxing Cai, Junyan Yi, Sheng Li e Shi Wang. "Stochastic Multiple Chaotic Local Search-Incorporated Gradient-Based Optimizer". Discrete Dynamics in Nature and Society 2021 (2 de dezembro de 2021): 1–16. http://dx.doi.org/10.1155/2021/3353926.
Texto completo da fonteLin, Yung Chien. "A Mixed-Integer Memetic Algorithm Applied to Batch Process Optimization". Applied Mechanics and Materials 300-301 (fevereiro de 2013): 645–48. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.645.
Texto completo da fonteAbuhamdah, Anmar, Wadii Boulila, Ghaith M. Jaradat, Anas M. Quteishat, Mutasem K. Alsmadi e Ibrahim A. Almarashdeh. "A novel population-based local search for nurse rostering problem". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 1 (1 de fevereiro de 2021): 471. http://dx.doi.org/10.11591/ijece.v11i1.pp471-480.
Texto completo da fonteYuan, Xiaohui, Zhihuan Chen, Yanbin Yuan, Yuehua Huang e Xiaopan Zhang. "A Strength Pareto Gravitational Search Algorithm for Multi-Objective Optimization Problems". International Journal of Pattern Recognition and Artificial Intelligence 29, n.º 06 (12 de agosto de 2015): 1559010. http://dx.doi.org/10.1142/s0218001415590107.
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