Abstract

Population-based algorithms aim to explore the entire solution space in global numerical optimization problems. However, it is important to acknowledge that the solution spaces of different problems possess distinct characteristics, and even distinct regions within the same solution space can vary significantly. Efficient exploration of these diverse regions necessitates the utilization of distinct search models.

基于群体的算法旨在探索全局数值优化问题的整个解空间，但不同解空间具有不同特性。本文提出基于自适应哈希聚类的多策略差分进化算法，依据种群状态评估动态选择多种变异策略，并应用于无线传感器网络部署问题。

Keywords