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Differential Evolution Training Algorithm for Feed-Forward Neural Networks
Neural Processing Letters
Ant Colony Optimization
An informative differential evolution with self adaptive re-clustering technique
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
A Multi-Facet Survey on Memetic Computation
IEEE Transactions on Evolutionary Computation
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In this paper we are going to investigate the properties of Informative Differential Evolution with Self Adaptive Re-clustering technique (IDE_SR) algorithm on the problems of electromagnetic domain. Problems of electromagnetism domain generally exhibit multimodal characteristic as well as the high dimensionality and non-smooth attributes. IDE_SR is a modified Differential Evolution (DE) to overcome the problems of multimodality and complexity of the problem under consideration. In this paper we describe the salient features of IDE_SR and compare the result with other state-of-art algorithms.