Rain-Fall Optimization Algorithm with new parallel implementations

Rain-Fall Optimization Algorithm with new parallel implementations

Rainfall Optimization Algorithm (RFO) is a nature-inspired metaheuristic optimization algorithm. RFOmimics the movement of water drops generated during rainfall to optimize a function. The paper studynew implementations for RFO to offer more reliable results. Moreover, it studies three restarting te...

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Bibliographic Details
Main Authors:	Juan Guerrero-Valadez, Felix Martínez-Rios
Format:	Article
Language:	English
Published:	European Alliance for Innovation (EAI) 2020-09-01
Series:	EAI Endorsed Transactions on Energy Web
Subjects:	optimization metaheuristics rainfall optimization algorithm multithreading simulated annealing genetic algorithm nature-inspired
Online Access:	https://eudl.eu/pdf/10.4108/eai.13-7-2018.163981

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