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Strategy Creation, Decomposition and Distribution in Particle Navigation

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Date

2007

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science inc

Open Access Color

Green Open Access

No

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Publicly Funded

No
Impulse
Average
Influence
Top 10%
Popularity
Average

Research Projects

Journal Issue

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

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

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

WoS Q

Q1

Scopus Q

Q1
OpenCitations Logo
OpenCitations Citation Count
5

Source

Information Sciences

Volume

177

Issue

3

Start Page

755

End Page

770
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Citations

CrossRef : 4

Scopus : 8

Captures

Mendeley Readers : 29

SCOPUS™ Citations

9

checked on Feb 24, 2026

Web of Science™ Citations

5

checked on Feb 24, 2026

Page Views

3

checked on Feb 24, 2026

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2.3577941

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