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ENC
2005
IEEE
14 years 1 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
CEC
2007
IEEE
14 years 2 months ago
Multi-objective differential evolution (MODE) for optimization of supply chain planning and management
— Many problems in the engineering domain involve more than one objective to be optimized simultaneously. The optimal solution to a multi-objective function results in a set of e...
B. V. Babu, Ashish M. Gujarathi
ESCIENCE
2006
IEEE
13 years 11 months ago
A Differential Evolution Based Algorithm to Optimize the Radio Network Design Problem
In this paper we present a Differential Evolution based algorithm used to solve the Radio Network Design (RND) problem. This problem consists in determining the optimal locations ...
Silvio Priem-Mendes, Juan Antonio Gómez Pul...
CEC
2009
IEEE
14 years 2 months ago
Parameter control in Differential Evolution for constrained optimization
In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adapti...
Efrén Mezura-Montes, A. G. Palomeque-Ortiz
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 1 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba