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Finding Solution by Genetic Algorithm

Year: 2013

Type: article

Abstract: Nowadays, various optimization problems are exited in many areas; for example, production scheduling, transportation, material handling, production planning etc. There are many solutions for these problems but it is difficult to find the best solution. However, a good solution can be found from search solace by a heuristic method. Genetic algorithm, which is not complex technique compared to the others, is one of the local search heuristic, In this paper, the genetic algorithm’s basic concepts and some examples of applying this technique to some optimization problems are explained.

Source: Engineering and Applied Science Research

Authors: Wanida Rattanamanee, Supachai Pathumnakul

Institutions: Prince of Songkla University, Khon Kaen University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1955149769

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