A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems


In recent years, multiobjective immune algorithms (MOIAs) have shown promising performance in solving multiobjective optimization problems (MOPs). However, basic MOIAs only use a single hypermutation operation to evolve individuals, which may induce some difficulties in tackling complicated MOPs. In this paper, we propose a novel hybrid evolutionary… (More)
DOI: 10.1109/TEVC.2015.2512930