An Improved Ant Colony Optimization Algorithm Based on Immunization Strategy
|Periodical||Advanced Materials Research (Volumes 490 - 495)|
|Main Theme||Mechatronics and Intelligent Materials II|
|Edited by||Ran Chen and Wen-Pei Sung|
|Citation||Yang Nan, 2012, Advanced Materials Research, 490-495, 66|
|Online since||March, 2012|
|Keywords||Ant Colony Optimization (ACO), Continuous Optimization, Immunization Strategy|
Ant colony optimization has been become a very useful method for combination optimization problems. Based on close connections between combination optimization and continuous optimization, nowadays some scholars have studied to apply ant colony optimization to continuous optimization problems, and proposed some continuous ant colony optimizations. To improve the performance of those continuous ant colony optimizations, here the principles of evolutionary algorithm and artificial immune algorithm have been combined with the typical continuous Ant Colony Optimization, and the adaptive Cauchi mutation and thickness selection are used to operate the ant individual, so a new Immunized Ant Colony Optimization is proposed.