PATH PLANNING OF ROBOT IN STATIC ENVIRONMENT USING GENETIC ALGORITHM (GA) TECHNIQUE

This paper presents the application of genetic algorithm in path planning for a static warehouse environment with multiple objectives. It quantitatively evaluates the performance of genetic algorithm which is used for a variety of applications. In a warehouse equipped with robot for material handlin...

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Bibliographic Details
Published inInternational journal of advances in engineering and technology Vol. 6; no. 3; p. 1205
Main Authors Parvez, Waghoo, Dhar, Sonal
Format Journal Article
LanguageEnglish
Published Bareilly I A E T Publishing Company 01.07.2013
Subjects
Cost engineering
Genetic algorithms
Materials handling
Optimization
Path planning
Robots
Transportation
Warehouses
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ISSN2231-1963
2231-1963

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Summary:This paper presents the application of genetic algorithm in path planning for a static warehouse environment with multiple objectives. It quantitatively evaluates the performance of genetic algorithm which is used for a variety of applications. In a warehouse equipped with robot for material handling and transportation, the path taken by the robot plays an important role as it defines the time required for transportation. Nowadays, transportation cost should also be minimized to reduce the cost of the product, which can be minimized by optimizing the path for transportation. GA is applied for optimizing the path of a robot in warehouses for material handling with a predetermined location as a starting point to reach a pre-determined goal. The program has been developed in C++ language. The technique is able to generate feasible, stable and optimal sequence.
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ISSN:2231-1963
2231-1963