Self-organizing neural network for adaptive operator selection in evolutionary search

• المؤلفون الرئيسيون: TENG, Teck Hou, HANDOKO, Stephanus Daniel, LAU, Hoong Chuin
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2016
• الموضوعات: Benchmarking; Combinatorial optimization; Evolutionary algorithms; Markov processes; Neural networks; Optimization; Artificial Intelligence and Robotics; Computer Sciences; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/3404; https://ink.library.smu.edu.sg/context/sis_research/article/4405/viewcontent/SelfOrganzingNNAdaptiveOp_2016_LION.pdf

Evolutionary Algorithm is a well-known meta-heuristics paradigm capable of providing high-quality solutions to computationally hard problems. As with the other meta-heuristics, its performance is often attributed to appropriate design choices such as the choice of crossover operators and some other...