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

Date

2005-01-01

Author

Beldek, Ulas
Leblebicioğlu, Mehmet Kemal

Metadata

Show full item record

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

Item Usage Stats

92
views

0
downloads

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

Suggestions

OpenMETU
Core

Safe and Efficient Path Planning for Omni-directional Robots using an Inflated Voronoi Boundary Aldahhan, Mohammed Rabeea Hashim; Schmidt, Klaus Verner (2019-11-01) Path planning algorithms for mobile robots are concerned with finding a feasible path between a start and goal location in a given environment without hitting obstacles. In the existing literature, important performance metrics for path planning algorithms are the path length, computation time and path safety, which is quantified by the minimum distance of a path from obstacles. The subject of this paper is the development of path planning algorithms for omni-directional robots, which have the ability ...
Comparison of EKF, EKF2 and UKF in a loosely coupled INS/GPS integration Jane, Hande; Baykal, Buyurman; Department of Electrical and Electronics Engineering (2018) Developing effective navigation solutions in land, sea, air, and space travels is an ever increasing necessity maintaining its validity. Nowadays, although a navigation aid called satellite based Global Positioning System (GPS) is used to develop a navigation solution, standalone GPS cannot achieve the desired accuracy in some applications. For this reason, GPS measurements are integrated with the Inertial Navigation System (INS) to develop an enhanced accurate integrated navigation solution. Extended Kalma...
Feedback motion planning with stochastic model predictive control Deveci, Tuvana Deniz; Ankaralı, Mustafa Mert; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2022-5) In real-world applications of motion planning and navigation, it is crucial to have a robust and accurate control policy. To achieve robustness and accuracy, the selected policy should handle the uncertainty in the process, which may arise from the surrounding environment or the process itself. However, most methods ignore the effects of uncertainty and cause inadmissible results for several applications. This thesis brings a solution to the addressed problem by proposing a trajectory-free motion control me...
Multiresolution formation preserving path planning in 3-D virtual environments Hoşgör, Can; Polat, Faruk; Department of Computer Engineering (2011) The complexity of the path finding and navigation problem increases when multiple agents are involved and these agents have to maintain a predefined formation while moving on a 3-D terrain. In this thesis, a novel approach for multiresolution formation representation is proposed, that allows hierarchical formations of arbitrary depth to be defined using different referencing schemes. This formation representation approach is then utilized to find and realize a collision free optimal path from an initial loc...
Optimum design of steel frames using stochastic search techniques based on natural phenomena: A review Saka, M. P. (2007-09-21) Recent developments in optimization techniques that deal with finding the solution of combinatorial optimization problems has provided steel designers with new capabilities. These new optimization techniques use nature as a source of inspiration to develop new procedures for solving complex engineering problems. Among these, evolutionary algorithms mimic evolutionary biology and make use of the principle of the survival of the fittest to establish a numerical search algorithm. In the immune system algorithm...

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.