Non-dominated sorting differential evolution with improved directional convergence and spread for multiobjective optimization
Wentao Guo, Xinjie Yu
Abstract
Wentao Guo, Xinjie Yu
Abstract
A non-dominated sorting differential evolution algorithm with improved directional convergence and spread (NSDE-IDCS) is developed. Taking advantage of differential evolution, searching direction for a dominated solution is determined by its nearest non-dominated neighbor, while searching direction for a non-dominated solution is determined by other two non-dominated solutions. A simplex local search operator with an adaptive search probability is embedded to further exploit the neighborhood of non-dominated solutions.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A non-dominated sorting differential evolution algorithm with improved directional convergence and spread (NSDE-IDCS) is developed. Taking advantage of differential evolution, searching direction for a dominated solution is determined by its nearest non-dominated neighbor, while searching direction for a non-dominated solution is determined by other two non-dominated solutions. A simplex local search operator with an adaptive search probability is embedded to further exploit the neighborhood of non-dominated solutions.
Key concepts: Sorting, Differential evolution, Convergence (economics), Exploit, Mathematical optimization, Simplex, Computer science, Differential (mechanical device)