How to measure adaptation complexity in evolvable systems - A new synthetic approach of constructing fitness functions

Expert Systems with Applications

Volumn 38, Issue 8, 2011, Pages 10414-10419

  Wang, Pan ^a   Zhang, Jianjian ^a   Xu, Li ^a,b   Wang, Hong ^c   Feng, Shan ^d   Zhu, Haoshen ^a  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b OLD DOMINION UNIVERSITY   (United States)

^c NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

^d HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Adaptation complexity; Construction of fitness function; Evolutionary computation; Fuzzy control; Measure; Variable weights objective synthesis

Indexed keywords

ADAPTATION COMPLEXITY; ARTIFICIAL SYSTEMS; ESSENTIAL CHARACTERISTIC; EVOLUTIONARY COMPUTATIONS; EVOLVABLE SYSTEMS; FITNESS FUNCTIONS; GENERAL METHOD; MEASURE; MULTI OBJECTIVE DECISION MAKING; MULTI-INPUT MULTI-OUTPUT; MULTI-OBJECTIVE FITNESS FUNCTION; SYNTHETIC APPROACH; VARIABLE WEIGHTS/OBJECTIVE SYNTHESIS;

CALCULATIONS; DECISION MAKING; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; FUZZY CONTROL; HEALTH; MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION;

FUNCTIONS;

EID: 79953677451     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.099     Document Type: Article

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