Stellarator Optimization Using a Distributed Swarm Intelligence-Based Algorithm

Authors

  • Antonio Gómez-Iglesias
  • Francisco Castejón
  • Miguel A. Vega-Rodríguez

Keywords:

Large-scale optimization problems, swarm intelligence, distributed break computing

Abstract

The design of enhanced fusion devices constitutes a key element for the development of fusion as a commercial source of energy. Stellarator optimization presents high computational requirements because of the complexity of the numerical methods needed as well as the size of the solution space regarding all the possible configurations satisfying the characteristics of a feasible reactor. The size of the solution space does not allow to explore every single feasible configuration. Hence, a metaheuristic approach is used to achieve optimized configurations without evaluating the whole solution space. In this paper we present a distributed algorithm that mimics the foraging behaviour of bees. This behaviour has manifested its efficiency in dealing with complex problems.

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Author Biographies

Antonio Gómez-Iglesias

CIEMAT
Avda. Complutense 22
28040 Madrid, Spain

Francisco Castejón

CIEMAT
Avda. Complutense 22
28040 Madrid, Spain

Miguel A. Vega-Rodríguez

Dept. of Technologies of Computers and Communications
Escuela Politécnica, Campus Universitario s/n
10003 Caceres, Spain

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Published

2012-06-20

How to Cite

Gómez-Iglesias, A., Castejón, F., & Vega-Rodríguez, M. A. (2012). Stellarator Optimization Using a Distributed Swarm Intelligence-Based Algorithm. COMPUTING AND INFORMATICS, 31(1), 31–43. Retrieved from http://www.cai.sk/ojs/index.php/cai/article/view/885

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Section

Special Section Articles

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