Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy

CY Cheng, SF Li, YC Lin - Soft Computing, 2019 - Springer
Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …

Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy

CY Cheng, SF Li, YC Lin - Soft Computing, 2017 - infona.pl
Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …

Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy.

CY Cheng, SF Li, YC Lin - Soft Computing-A Fusion of …, 2019 - search.ebscohost.com
Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …

Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy

CY Cheng, SF Li, YC Lin - Soft Computing, 2019 - ntut.elsevierpure.com
Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …

Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy

CY Cheng, SF Li, YC Lin - Soft Computing, 2019 - search.proquest.com
Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …

Self-adaptive parameters in differential evolution based on fitness performance with a perturbation strategy

CY Cheng, SF Li, YC Lin - Soft Computing-A Fusion of Foundations …, 2019 - dl.acm.org
Differential evolution (DE) algorithms have been used widely to solve optimization problems
and practical cases and have demonstrated high efficiency, performing favorably using only …