Cloning: a novel method for interactive parallel simulation
Proceedings of the 29th conference on Winter simulation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
Advanced Clone-Analysis to Support Object-Oriented System Refactoring
WCRE '00 Proceedings of the Seventh Working Conference on Reverse Engineering (WCRE'00)
An immunogenetic approach in chemical spectrum recognition
Advances in evolutionary computing
Adaptive Polyclonal Programming Algorithm with Applications
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Architecture for an Artificial Immune System
Evolutionary Computation
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Multiobjective optimization using ideas from the clonal selection principle
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Clonal selection algorithm with search space expansion scheme for global function optimization
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
SAR image classification based on clonal selection algorithm
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
A novel clonal selection for multi-modal function optimization
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Applying the clonal selection principle to find flexible job-shop schedules
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
An Expanded Lateral Interactive Clonal Selection Algorithm and Its Application
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
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The clonal selection algorithm (CS), inspired by the basic features of adaptive immune response to antigenic stimulus, can exploit and explore the solution space parallelly and effectively. However, antibody initialization and premature convergence are two problems of CS. To overcome these two problems, we propose a chaotic distance-based clonal selection algorithm (CDCS). In this novel algorithm, we introduce a chaotic initialization mechanism and a distance-based somatic hypermutation to improve the performance of CS. The proposed algorithm is also verified for numerous benchmark traveling salesman problems. Experimental results show that the improved algorithm proposed in this paper provides better performance when compared to other metaheuristics.