Large Language Model for Multi-objective Evolutionary Optimization

arXiv:2310.12541v3 Announce Type: replace-cross
Abstract: Multiobjective evolutionary algorithms (MOEAs) are major methods for solving multiobjective optimization problems (MOPs). Many MOEAs have been proposed in the past decades, of which the search operators need a carefully handcrafted design with domain knowledge. Recently, some attempts have been made to replace the manually designed operators in MOEAs with learning-based operators (e.g., neural network models). However, much effort is still required for designing and training such models, and the learned operators might not generalize …

arxiv cs.ai cs.cl cs.et cs.ne language language model large language large language model multi-objective optimization type