Algorithm for Increasing the Speed of Evolutionary Optimization and its Accuracy in Multi-objective Problems

Water Resources Management

Volumn 27, Issue 7, 2013, Pages 2231-2249

  Shokri, Ashkan ^a   Bozorg Haddad, Omid ^a   Mariño, Miguel A ^b,c,d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of California Davis   (United States)

^d Univ of California   (United States)

Author keywords

Evolutionary optimization; Expensive simulation; NSGAII ANN algorithm; Time consuming simulation

Indexed keywords

FLOOD CONTROL; GENETIC ALGORITHMS; RESERVOIRS (WATER);

ANN ALGORITHM; EVOLUTIONARY ALGORITHMS (EAS); EVOLUTIONARY OPTIMIZATIONS; EXPENSIVE SIMULATION; MULTI-OBJECTIVE PROBLEM; NON- DOMINATED SORTING GENETIC ALGORITHMS; OPTIMIZATION ALGORITHMS; TIME-CONSUMING SIMULATION;

SIMULATORS;

ARTIFICIAL NEURAL NETWORK; FLOOD CONTROL; GENETIC ALGORITHM; MULTIOBJECTIVE PROGRAMMING; NUMERICAL MODEL; OPTIMIZATION; RESERVOIR;

EID: 84876424983     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0285-4     Document Type: Article

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