Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization-Reference-Cited by-同舟云学术

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Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization

Published:2022-08 Issue: Volume:250 Page:109048
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ahmadianfar Iman,Noori Ramzia Majeed,Togun Hussein,Falah Mayadah W.,Homod Raad Z.,Fu Minglei,Halder Bijay,Deo Ravinesh,Yaseen Zaher Mundher

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference80 articles.

1. Multiple hydropower reservoirs operation optimization by adaptive mutation sine cosine algorithm based on neighborhood search and simplex search strategies;Feng;J. Hydrol.,2020

2. Review of surrogate modeling in water resources;Razavi;Water Resour. Res.,2012

3. Reservoir management and operations models: A state-of-the-art review;Yeh;Water Resour. Res.,1985

4. Reliability-based operation of reservoirs: a hybrid genetic algorithm and cellular automata method;Azizipour;Soft Comput.,2017

5. Optimization of hydropower and related benefits through cascade reservoirs for sustainable economic growth;Rashid;Renew. Energy,2021

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