启发式
算法
计算机科学
突变
翻译(生物学)
操作员(生物学)
理论(学习稳定性)
旋转(数学)
群体行为
数学优化
元启发式
数学
人工智能
机器学习
信使核糖核酸
基因
生物化学
化学
抑制因子
转录因子
标识
DOI:10.1016/j.asoc.2024.111614
摘要
Although the theoretical studies on the existing meta-heuristic algorithms and the development of novel meta-heuristic algorithms have achieved fruitful results, the studies on the definition and construction methods of the so-called "mutation" operator widely used in existing meta-heuristic algorithms are still not in-depth enough, and how to directly construct a meta-heuristic algorithm based on the properties of mutation operators under the guidance of stability and invariance analysis is still a problem to be solved. In this paper, the concepts of "mutation operator" and "mutation-driven meta-heuristic algorithm" in the existing meta-heuristic algorithm literature are carefully studied and strictly defined. Based on these definitions, a novel meta-heuristic algorithm, called Multi-direction guided Mutation-driven Stable swarm Intelligence algorithm with Translation and Rotation invariance (M2SITRI) is proposed, and the corresponding mutation operator is elaborately designed under the guidance of translation, rotation invariance and order-1, order-2 stability theory analysis. The stability and invariance properties of the proposed M2SITRI algorithm are verified by numerical simulations, and its outstanding performance is verified by comparing with several other well-known existing meta-heuristic algorithms on multiple test problems.
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