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

• Main Authors: TENG, Teck Hou, HANDOKO, Stephanus Daniel, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Benchmarking; Combinatorial optimization; Evolutionary algorithms; Markov processes; Neural networks; Optimization; Artificial Intelligence and Robotics; Computer Sciences; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: 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
• Institution: Singapore Management University

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...