An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation

• Published in: Applied soft computing Vol. 127; p. 109419
• Main Authors: Deng, Wu, Ni, Hongcheng, Liu, Yi, Chen, Huiling, Zhao, Huimin
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2022
• Subjects: Belief space; Differential evolution; Gate allocation; Global optimization; Opposition-based learning; Parameter adaptation; Differential evolution; Global optimization; Gate allocation; Parameter adaptation; Belief space; Opposition-based learning

Differential evolution (DE) algorithm is prone to premature convergence and local optimization in solving complex optimization problems. In order to solve these problems, the belief space strategy, generalized opposition-based learning strategy and parameter adaptive strategy are introduced into DE...