An improved discrete immune network for multimodal optimization

Authors:
Jing-Xin Xie;Chun-Tian Cheng;Zhen-Hui Ren
Affiliations:
Institute of Hydropower System & Hydroinformatics, Department of Civil Engineering, Dalian University of Technology, Dalian, P.R. China;Institute of Hydropower System & Hydroinformatics, Department of Civil Engineering, Dalian University of Technology, Dalian, P.R. China;College of Mechanical and Electronic Engineering, Hebei Agricultural University, Baoding, P.R. China
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

Citing 2
Cited 0

Artficial Immune Systems and Their Applications

Artficial Immune Systems and Their Applications
A Continuous Genetic Algorithm Designed for the Global Optimization of Multimodal Functions

Journal of Heuristics

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Abstract

Aimed at multimodal optimization, the paper proposes an improved discrete immune network model (IDIN). In order to mention dynamic population and appropriate diversity, we introduce a bi-shape-space coding mechanism into a discrete immune network. To evaluate the efficiency of IDIN, we implemented three benchmark functions with various dimensions, and compared our results with other algorithms based on immune algorithm or the developed version of Genetic Algorithms. We have obtained similar or better results than those of others.