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Bi Kouaï Bertin Kayé, Moustapha Diaby, Moussa Koivogui and Souleymane Oumtanaga
This study aims to compare the results of a memetic algorithm with those of the two-phase decomposition heuristic on the external depot production routing problem in a supply chain. We have modified the classical scheme of a genetic algorithm by replacin...
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Oscar Danilo Montoya, Alexander Molina-Cabrera, Luis Fernando Grisales-Noreña, Ricardo Alberto Hincapié and Mauricio Granada
This paper addresses the phase-balancing problem in three-phase power grids with the radial configuration from the perspective of master?slave optimization. The master stage corresponds to an improved version of the Chu and Beasley genetic algorithm, whi...
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Ievgen Fedorchenko,Andrii Oliinyk,Alexander Stepanenko,Tetiana Zaiko,Serhii Korniienko,Anastasiia Kharchenko
Pág. 52 - 63
A genetic method has been proposed to forecast the health indicators of population based on neural-network models. The fundamental difference of the proposed genetic method from existing analogs is the use of the diploid set of chromosomes in individuals...
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Md. Sabir Hossain, Ahsan Sadee Tanim, Sadman Sakib Choudhury, S. M. Afif Ibne Hayat, Muhammad Nomani Kabir, Mohammad Mainul Islam
The traveling salesman problem (TSP) is a famous NP-hard problem in the area of combinatorial optimization. It is utilized to locate the shortest possible route that visits every city precisely once and comes back to the beginning point from a given set ...
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Bin Xu, Ping-An Zhong, Xinyu Wan, Weiguo Zhang and Xuan Chen
Seeking the optimal strategy of a multi-reservoir system is an important approach to develop hydropower energy, in which the Genetic Algorithm (GA) is commonly used as an effective tool. However, when the traditional GA is applied in solving the problem,...
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