期刊
MEMETIC COMPUTING
卷 11, 期 3, 页码 317-329出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s12293-018-0268-3
关键词
Constraint handling; Linear equality constraints; Differential evolution
资金
- PNPD/CAPES
- CNPq [310778/2013-1]
- FAPEMIG [APQ-03414-15]
A differential evolution algorithm (DE) is proposed to exactly satisfy the linear equality constraints present in a continuous optimization problem that may also include additional non-linear equality and inequality constraints. The proposed DE technique, denoted by DELEqC-II, is an extension of a previous method developed by the authors. In contrast to the previous approach, it uses both mutation and crossover strategies that maintain feasibility with respect to the linear equality constraints. Also, a procedure to correct numerical errors detected in the previous approach was incorporated in DELEqC-II. In the numerical experiments, scalable test-problems with linear equality constraints are used to analyze the performance of the new proposal.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据