Engineering design optimization using chaotic enhanced charged system search algorithms

The charged system search as a recently developed meta-heuristic algorithm has been successfully utilized for optimum design of different examples. In addition, the fields of forces model provides a means to enhance the algorithm, and this results in the enhanced charged system search (ECSS). This p...

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Bibliographic Details
Published in:Acta mechanica 2012-10, Vol.223 (10), p.2269-2285
Main Authors: Talatahari, S., Kaveh, A., Sheikholeslami, R.
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Chaos theory
Charging
Classical and Continuum Physics
Computer simulation
Control
Design engineering
Design optimization
Dynamical Systems
Engineering
Engineering design
Engineering Thermodynamics
Heat and Mass Transfer
Optimization
Searching
Solid Mechanics
Theoretical and Applied Mechanics
Vibration
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Summary:The charged system search as a recently developed meta-heuristic algorithm has been successfully utilized for optimum design of different examples. In addition, the fields of forces model provides a means to enhance the algorithm, and this results in the enhanced charged system search (ECSS). This paper utilizes positive features of the chaos in the ECSS algorithm to optimize engineering design problems. Simulation results and comparisons based on various well-known mechanical and engineering design problems show the efficiency of the present algorithm.
ISSN:0001-5970
1619-6937
DOI:10.1007/s00707-012-0704-2