Adaptation methodology of CBR for environmental emergency preparedness system based on an Improved Genetic Algorithm

Expert Systems with Applications

Volumn 39, Issue 8, 2012, Pages 7029-7040

  Liao, Zhenliang ^a   Mao, Xuewei ^a   Hannam, Phillip M ^b   Zhao, Tingting ^a,c  

^a Tongji University   (China)

^b TONGJI UNIVERSITY   (China)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

Adaptation; Case Based Reasoning; Environmental emergency; Improved Genetic Algorithm

Indexed keywords

ADAPTATION; CASCADE CODE; CASE ADAPTATION; CASE BASE; CASE REPRESENTATION; CBR; CBR SYSTEMS; CHEMICAL LEAKAGE; CONVERGENCE RATES; EMERGENCY PREPAREDNESS; EMERGENCY RESPONSE; ENVIRONMENTAL EMERGENCY; FITNESS FUNCTIONS; GENETIC OPERATIONS; IMPROVED GENETIC ALGORITHMS; INITIAL POPULATION; MULTI-FACTOR; MULTIPARAMETERS; NICHE TECHNOLOGY; OPTIMAL SOLUTIONS; PERFORMANCE TESTING; RESEARCH OPPORTUNITIES; SEARCH EFFICIENCY; SYSTEM-BASED;

CIVIL DEFENSE; GENETIC ALGORITHMS; NEURAL NETWORKS;

ENVIRONMENTAL TECHNOLOGY;

EID: 84857640577     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.01.044     Document Type: Article

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