Zhiyong Li
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.
- 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.Google Scholar
- Hanne, T. A multiobjective evolutionary algorithm for approximating the efficient set. European Journal of Operational Research, 2007. 176: p. 1723--1734.Google ScholarCross Ref
- 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.Google Scholar
- 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.Google Scholar
Index Terms
- A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence condition
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