Grooming of traffic using improved evolutionary algorithm in universal optical network
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Research on stronger convergence in probability of immune genetic algorithm
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Image Segmentation Based on Chaos Immune Clone Selection Algorithm
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A novel quantum genetic algorithm for PID controller
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Applied Soft Computing
Hybrid particle swarm optimizer and its application in identification of room acoustic properties
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Computers & Mathematics with Applications
Quantum novel genetic algorithm based on parallel subpopulation computing and its application
Artificial Intelligence Review
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Making use of the ergodicity and internal randomness of chaos iterations, a novel immune evolutionary algorithm based on the chaos optimization algorithm and immune evolutionary algorithm is presented to improve the convergence performance of the immune evolutionary algorithm. The novel algorithm integrates advantages of the immune evolutionary algorithm and chaos optimization algorithm. Chaos variables are loaded into the variable colony of the immune algorithm in the immune evolutionary algorithm, tiny disturbance is introduced into the memory colony, and the disturbance amplitude is gradually adjusted based on the characteristic of chaos search. The experimental results indicate that the new immune evolutionary algorithm improves the convergence performance and search efficiency of the immune evolutionary algorithm.