作者: Muhammad Waqar Aslam , Zhechen Zhu , Asoke Kumar Nandi
DOI: 10.1109/MLSP.2013.6661901
关键词:
摘要: The aim of all evolutionary methods is to find the best solution from search space without testing every in space. This study employs strengths and weaknesses solutions for finding any problem genetic programming. are used assist right partners (solutions) during crossover operation. probability between two evaluated using relative as well overall (Improved Comparative Partner Selection (ICPS)). qualifying through ICPS criteria supposed produce better allowed more children brood recombination. recombination helps exploit close optimum efficiently. proposed method applied on different benchmarking problems results demonstrate that highly efficient exploring