A high performance multi-objective evolutionary algorithm based on the principles of thermodynamics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3242, Issue , 2004, Pages 922-931

  Zou, Xiufen ^a   Liu, Minzhong ^a   Kang, Lishan ^a   He, Jun ^b  

^a WUHAN UNIVERSITY   (China)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FREE ENERGY; PARETO PRINCIPLE; PROBLEM SOLVING; THERMODYNAMICS;

FITNESS ASSIGNMENT; GIBBS ENTROPY; MINIMAL FREE ENERGIES; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; NSGA-II; PARETO DOMINANCE; PARETO-OPTIMAL FRONT; TEST PROBLEM;

EVOLUTIONARY ALGORITHMS;

EID: 33751383168     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30217-9_93     Document Type: Article

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