Title
Performance of informative differential evolution algorithm with self adaptive re-clustering technique on the problems of electromagnetism: the linear array antenna synthesis
Abstract
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.
Year
DOI
Venue
2012
10.1007/978-3-642-35380-2_22
SEMCCO
Keywords
Field
DocType
linear array antenna synthesis,self adaptive re-clustering technique,salient feature,multimodal characteristic,informative differential evolution algorithm,electromagnetism domain,non-smooth attribute,self adaptive,state-of-art algorithm,electromagnetic domain,informative differential evolution,high dimensionality,modified differential evolution
Multimodality,Mathematical optimization,Computer science,Electromagnetism,Curse of dimensionality,Differential evolution,Self adaptive,Artificial intelligence,Cluster analysis,Differential evolution algorithm,Salient
Conference
Volume
ISSN
Citations 
7677
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Dipankar Maity111913.10
Udit Halder2804.24
Sheli Sinha Chaudhuri313911.92