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Strategy Creation, Decomposition and Distribution in Particle Navigation

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Date

2007

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Elsevier Science inc

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Abstract

Strategy planning is crucial to control a group to achieve a number of tasks in a closed area full of obstacles. In this study, genetic programming has been used to evolve rule-based hierarchical structures to move the particles in a grid region to accomplish navigation tasks. Communications operations such as receiving and sending commands between particles are also provided to develop improved strategies. In order to produce more capable strategies, a task decomposition procedure is proposed. In addition, a conflict module is constructed to handle the challenging situations and conflicts such as blockage of a particle's pathway to destination by other particles. (C) 2006 Elsevier Inc. All rights reserved.

Description

Leblebicioglu, Mehmet Kemal/0000-0002-9735-458X

Keywords

Genetic Programming, Rule-Base, Strategy Planning, Genetic Algorithms, Robot Navigation, Maze Solving, Optimization, Multi-Agent Systems

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Fields of Science

Citation

Beldek, Ulaş; Leblebicioğlu, Kemal (2006). "Strategy creation, decomposition and distribution in particle navigation", Information Sciences, Vol. 177, pp. 755-770.

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Q1

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Q1
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OpenCitations Citation Count
5

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Volume

177

Issue

3

Start Page

755

End Page

770
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CrossRef : 4

Scopus : 9

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Mendeley Readers : 29

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