Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions

Environmental Modelling and Software

Volumn 62, Issue , 2014, Pages 271-299

  Maier, H R ^a   Kapelan, Z ^b   Kasprzyk, J ^c   Kollat, J ^d   Matott, L S ^e   Cunha, M C ^f   Dandy, G C ^a   Gibbs, M S ^a   Keedwell, E ^b   Marchi, A ^a   Ostfeld, A ^g   Savic, D ^b   Solomatine, D P ^h,i   Vrugt, J A ^j,k,l   Zecchin, A C ^a   Minsker, B S ^m   Barbour, E J ⁿ   Kuczera, G ^o   Pasha, F ^p   Castelletti, A ^q   Giuliani, M ^q   Reed, P M ^r   more..

^a UNIVERSITY OF ADELAIDE   (Australia)

^b UNIVERSITY OF EXETER   (United Kingdom)

^c UCB 450   (United States)

^d DecisionVis   (United States)

^e UNIVERSITY AT BUFFALO   (United States)

^f UNIVERSITY OF COIMBRA   (Portugal)

^g TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^h UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

ⁱ DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^j University of California at Irvine   (United States)

^k UNIVERSITY OF CALIFORNIA   (United States)

^l UNIVERSITY OF AMSTERDAM   (Netherlands)

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

ⁿ AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^o UNIVERSITY OF NEWCASTLE   (Australia)

^p CALIFORNIA STATE UNIVERSITY   (United States)

^q POLITECNICO DI MILANO   (Italy)

^r Cornell University   (United States)

more..

Author keywords

Evolutionary algorithms; Metaheuristics; Optimisation; Research directions; Review; Water resources

Indexed keywords

REVIEWS; WATER RESOURCES;

CURRENT STATUS; META HEURISTICS; OPTIMISATIONS; RESEARCH CHALLENGES;

EVOLUTIONARY ALGORITHMS;

ALGORITHM; FUTURE PROSPECT; HEURISTICS; META-ANALYSIS; OPTIMIZATION; RESEARCH WORK; THEORETICAL STUDY; WATER RESOURCE;

EID: 84907815736     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.09.013     Document Type: Article

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