Title :
An Improved Immune-Based Multi-modal Function Optimization Algorithm
Author :
Zhang Xu ; Xu, Zhang
Author_Institution :
Sch. of Mech. Eng., Dalian Jiaotong Univ., Dalian, China
Abstract :
The aim of this paper is to design an adaptive artificial immune algorithm for solving multi-modal optimization problems effectively and speedily. Based on analyzing the characteristics and disadvantages of CLONALG, an improved immune-based algorithm is proposed, which combines memory cells producing, network suppression and valley searching method. Testing benchmark functions show that it can fast find out all optimal solutions and local optimal solutions as many as possible without any prior knowledge.
Keywords :
adaptive systems; artificial immune systems; CLONALG; adaptive artificial immune algorithm; immune-based multi-modal function optimization algorithm; memory cells producing; network suppression; valley searching method; Algorithm design and analysis; Cloning; Computational intelligence; Design optimization; Genetic algorithms; Immune system; Mechanical engineering; Optimization methods; Random number generation; Testing; CLONALG; adaptive; immune algorithm; multi-modal function optimization; valley searching method;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.241
