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Publications

Differential evolution: Performances and analyses

N Padhye, P Mittal, K Deb. Cited by 27

Emotion Recognition and Brain InformaticsDecision Support Systems

Abstract

In this paper, we apply Differential Evolution (DE) algorithm in combination with a recently proposed constraint-handling strategy and study the performance 01' the resulting algorithm on CEC'13 test suite [1], and other constrained optimization problems. The goal of this exercise is to clearly identify and highlight the challenges encountered with the DE search while solving a range of optimization problems. We emphasize that understanding and resolving fundamental issues of a search procedure and considering the nature of the optimization problems at hand is the key to effective deployment of evolutionary procedures for search and optimization.

Authors: Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb

Published in: IEEE Congress on Evolutionary Computation (CEC) (2013)

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