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.

• Type: Conference
• Year: 2007
• Where: ICIC
• Authors: Zhiyong Li, Zhe Li, Günter Rudolph
• Keywords: Convergence Condition, Evolutionary Algorithms, ICIC 2007, Multiobjective Evolutionary Algorithms