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Global Path Planning in Grid-Based Environments Using Novel Metaheuristic Algorithm

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 231)

Abstract

The global path planning problem is very challenging NP-complete problem in the domain of robotics. Many metaheuristic approaches have been developed up to date, to provide an optimal solution to this problem. In this work we present a novel Quad-Harmony Search (QHS) algorithm based on Quad-tree free space decomposition methodology and Harmony Search optimization. The developed algorithm has been evaluated on various grid based environments with different percentage of obstacle coverage. The results have demonstrated that it is superior in terms of time and optimality of the solution compared to other known metaheuristic algorithms.

Keywords

Artificial Intelligence Free Space Decomposition Global Path- Planning Heuristic Algorithm Robotics 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculty of Computer ScienceUniversity “Goce Delcev” - StipStipMacedonia

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