Strategy creation, decomposition and distribution in particle navigation: Memory module

Date

2005-01-01

Author

Beldek, Ulas
Leblebicioğlu, Mehmet Kemal

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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in particle navigation problem strategy development is crucial. The difficulties encountered by the particles during their navigation tasks require different approaches in problem solving. One way to overcome the difficulties is to divide the problem into simple modules and develop solutions for these modules separately. Basically, two different modules are sufficient in addition to the main body to develop a successful solver. The first module (conflict module), which is developed by genetic programming, is used when the particles are in conflict. The second module (memory module) helps the particles to escape from local regions. Copyright © 2005 IFAC.

Subject Keywords

Agents, Genetic algorithms, Optimization, Path planning, Robot navigation, Rule-based systems

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960712375&origin=inward
https://hdl.handle.net/11511/102154

Journal

IFAC Proceedings Volumes (IFAC-PapersOnline)

DOI

https://doi.org/10.3182/20050703-6-cz-1902.01086

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

U. Beldek and M. K. Leblebicioğlu, “Strategy creation, decomposition and distribution in particle navigation: Memory module,” IFAC Proceedings Volumes (IFAC-PapersOnline), vol. 16, pp. 46–51, 2005, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960712375&origin=inward.