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ICIC
2007
Springer

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

9 years 4 months ago
On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms
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
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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