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2005
IEEE

DynDE: a differential evolution for dynamic optimization problems

9 years 5 months ago
DynDE: a differential evolution for dynamic optimization problems
Abstract- This paper presents an approach of using Differential Evolution (DE) to solve dynamic optimization problems. Careful setting of parameters is necessary for DE algorithms to successfully solve optimization problems. This paper describes DynDE, a multi-population DE algorithm developed specifically to solve dynamic optimization problems that doesn’t need any parameter control strategy for the F or CR parameters. Experimental evidence has been gathered to show that this new algorithm is capable of efficiently solving the moving peaks benchmark.
Rui Mendes, Arvind S. Mohais
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where CEC
Authors Rui Mendes, Arvind S. Mohais
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