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[HTML][HTML] Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms

Z Li, G Rudolph, K Li - Computers & Mathematics with Applications, 2009 - Elsevier
In recent research, we proposed a general framework of quantum-inspired multi-objective
evolutionary algorithms (QMOEA) and gave one of its sufficient convergence conditions to …
被引用次数：35 相关文章

Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms

Z Li, G Rudolph, K Li - Computers & Mathematics with Applications, 2009 - dl.acm.org
In recent research, we proposed a general framework of quantum-inspired multi-objective
evolutionary algorithms (QMOEA) and gave one of its sufficient convergence conditions to …

Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms

Z Li, G Rudolph, K Li - Computers and Mathematics with Applications, 2009 - infona.pl
In recent research, we proposed a general framework of quantum-inspired multi-objective
evolutionary algorithms (QMOEA) and gave one of its sufficient convergence conditions to …
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[PDF][PDF] Convergence performance comparison of quantum-inspired multi-objective evolutionary algorithms$

Z Li, G Rudolph, K Li - Computers and Mathematics with Applications, 2009 - core.ac.uk
abstract In recent research, we proposed a general framework of quantum-inspired multi-
objective evolutionary algorithms (QMOEA) and gave one of its sufficient convergence …