Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

H Wang, Z Wu, S Rahnamayan - Soft Computing, 2011 - Springer
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 …

[PDF][PDF] Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

H Wang, Z Wu, S Rahnamayan - 2010 - rahnamayan.ca
This paper presents a novel algorithm based on generalized opposition-based learning
(GOBL) to improve the performance of differential evolution (DE) to solve highdimensional …

Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

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 …

Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems.

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 …

Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

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 …

[PDF][PDF] Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

H Wang, Z Wu, S Rahnamayan - 2010 - academia.edu
This paper presents a novel algorithm based on generalized opposition-based learning
(GOBL) to improve the performance of differential evolution (DE) to solve highdimensional …

Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems

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