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» An Improved Quantum Evolutionary Algorithm with 2-Crossovers
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ISNN
2009
Springer
13 years 11 months ago
An Improved Quantum Evolutionary Algorithm with 2-Crossovers
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
Zhihui Xing, Haibin Duan, Chunfang Xu
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 5 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
ICIC
2007
Springer
13 years 11 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 s...
Zhiyong Li, Zhe Li, Günter Rudolph
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 8 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell