Performance of informative differential evolution algorithm with self adaptive re-clustering technique on the problems of electromagnetism: the linear array antenna synthesis

  • Authors:
  • Dipankar Maity;Udit Halder;Sheli Sinha Chaudhuri

  • Affiliations:
  • Dept. of Electronics and Telecomm. Engineering, Jadavpur University, Kolkata, India;Dept. of Electronics and Telecomm. Engineering, Jadavpur University, Kolkata, India;Dept. of Electronics and Telecomm. Engineering, Jadavpur University, Kolkata, India

  • Venue:
  • SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
  • Year:
  • 2012

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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.