首页|Study Findings from University of Toulouse Update Knowledge in Evolutionary Comp utation (Multiobjective Evolutionary Component Effect on Algorithm Behaviour)
Study Findings from University of Toulouse Update Knowledge in Evolutionary Comp utation (Multiobjective Evolutionary Component Effect on Algorithm Behaviour)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on evolutionary computation have been published. According to news reporting out of Toulouse, France, by Ne wsRx editors, research stated, "The performance of multiobjective evolutionary a lgorithms (MOEAs) varies across problems, making it hard to develop new algorith ms or apply existing ones to new problems. To simplify the development and appli cation of new multiobjective algorithms, there has been an increasing interest i n their automatic design from their components." The news editors obtained a quote from the research from University of Toulouse: "These automatically designed metaheuristics can outperform their human-develop ed counterparts. However, it is still unknown what are the most influential comp onents that lead to performance improvements. This study specifies a new methodo logy to investigate the effects of the final configuration of an automatically d esigned algorithm. We apply this methodology to a tuned Multiobjective Evolution ary Algorithm based on Decomposition (MOEA/D) designed by the iterated racing (i race) configuration package on constrained problems of 3 groups: (1) analytical real-world problems, (2) analytical artificial problems and (3) simulated real-w orld. We then compare the impact of the algorithm components in terms of their S earch Trajectory Networks (STNs), the diversity of the population, and the anyti me hypervolume values. Looking at the objective space behavior, the MOEAs studie d converged before half of the search to generally good HV values in the analyti cal artificial problems and the analytical real-world problems."
University of ToulouseToulouseFranceEuropeAlgorithmsEvolutionary ComputationTechnology
NETL
NSTL
