This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve highdimensional …
H Wang, Z Wu, S Rahnamayan - Soft Computing-A Fusion of …, 2011 - dl.acm.org
This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve high-dimensional …
H Wang, Z Wu, S Rahnamayan - Soft Computing-A Fusion …, 2011 - search.ebscohost.com
This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve high-dimensional …
H Wang, Z Wu, S Rahnamayan - Soft Computing, 2011 - search.proquest.com
This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve high-dimensional …
This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve highdimensional …
H Wang, Z Wu, S Rahnamayan - Soft Computing, 2011 - infona.pl
This paper presents a novel algorithm based on generalized opposition-based learning (GOBL) to improve the performance of differential evolution (DE) to solve high-dimensional …
[引用][C]Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems
H Wang, Z Wu, S Rahnamayan - Soft Computing-A Fusion of Foundations …, 2011 - Springer
[引用][C]Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems
H Wang, Z Wu, S Rahnamayan - Soft computing, 2011 - Springer