Opposite learning and multi-migrating strategy-based self-organizing migrating algorithm with the convergence monitoring mechanism

Yongfeng Gu, Hao Ding, Hua Wu, Jun Zhou

Abstract: This paper introduces a novel competition entry on Real Parameter Single Objective Bound Constrained Optimization at GECCO 2022 conference, namely Opposite learning and Multi-migrating strategy-based Self-Organizing Migrating Algorithm with Convergence monitoring mechanism (OMC_SOMA). Specifically, OMC_SOMA induces three techniques to improve the basic SOMA in the aspects of population initialization, convergence monitoring, and migrating strategies. Preliminary experiments on the 12 test functions reveal a good performance of our proposed method.