A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence condition

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A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence condition

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 9th annual conference on Genetic and evolutionary computation table of contents

London, England

POSTER SESSION: Evolutionary multiobjective optimization: posters table of contents

Pages: 908 - 908

Year of Publication: 2007

ISBN:978-1-59593-697-4

Authors

Zhiyong Li	Hunan University, Changsha, Hunan, China
Guenter Rudolph	University of Dortmund, Dortmund, Germany

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 8, Downloads (12 Months): 32, Citation Count: 2

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ABSTRACT

A general framework of quantum-inspired multi-objective evolutionary algorithms as well as one of its sufficient convergence conditions to Pareto optimal set is proposed.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Rudolph, G., and Agapie, A. Convergence Properties of Some Multi-Objective Evolutionary Algorithms. in the 2000 Congress on Evolutionary Computation (CEC 2000). 2000. Piscataway (NJ): IEEE Press.
	2	Hanne, T. A multiobjective evolutionary algorithm for approximating the efficient set. European Journal of Operational Research, 2007. 176: p. 1723--1734.
	3	Kim, Y., Kim, J.-H., and Han, K.-H. Quantum-inspired Multiobjective Evolutionary Algorithm for Multiobjective 0/1 Knapsack Problems. in 2006 IEEE Congress on Evolutionary Computation. 2006. Canada: IEEE Press.
	4	Li, Z., and Rudolph, G. A Framework of Quantum-inspired Multi-Objective Evolutionary Algorithms and its Convergence Properties. Technical Report CI 228/07, SFB 531, Universitat Dortmund, 2007.

CITED BY 2

	Zhiyong Li , Songbing Liu , Degui Xiao , Jun Chen , Kenli Li, Multi-objective particle swarm optimization algorithm based on game strategies, Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, June 12-14, 2009, Shanghai, China
	Zhiyong Li , Günter Rudolph , Kenli Li, Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms, Computers & Mathematics with Applications, v.57 n.11-12, p.1843-1854, June, 2009