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34

ICIC
2007
Springer

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On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms

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On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms

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Abstract. In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general schemes of multi-objective evolutionary algorithms. One of the sufficient convergence conditions to Pareto optimal set is presented and proved under partially order set theory. Moreover, two improved Q-gates are given as examples meeting this convergence condition.

Zhiyong Li, Zhe Li, Günter Rudolph

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Added	08 Jun 2010
Updated	08 Jun 2010
Type	Conference
Year	2007
Where	ICIC
Authors	Zhiyong Li, Zhe Li, Günter Rudolph

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