Open AccessMulti-objective water resources optimum allocation scheme based on an improved standard cuckoo search algorithm (ISCSA)
Author(s) -
Ke Zhou
Publication year - 2022
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 39
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2022.310
Subject(s) - cuckoo search , initialization , mathematical optimization , computer science , heuristic , population , optimal allocation , water resources , genetic algorithm , algorithm , particle swarm optimization , mathematics , ecology , demography , sociology , programming language , biology
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