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Improved constrained optimization differential evolution algorithm

Year: 2012

Type: article

Abstract: An improved differential evolution algorithm is proposed to solve constrained optimization problems,which does not introduce penalty parameters to deal with constraints.In the process of evolution,the individuals generation based on good-point-set method is introduced into the evolutionary algorithm initial step.In order to improve global convergence and convergence speed of the proposed algorithm,DE/best/1 mutation scheme and DE/rand/1 mutation scheme are used to the feasible solution and the infeasible solution respectively.Several class Benchmark problems are tested,the results show that the proposed algorithm is an effective way for constrained optimization problems.

Source: Computer Engineering and Applications Journal

Authors: Long Wen, Songjin Xu, Jiao Jianjun

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2363097793

FWCI: 0.767

Cites:

Cited by: 5

Related to: 10