Title: Robust reliability design of a nuclear system by multiple objective evolutionary optimisation
Authors: Daniel E. Salazar, Claudio M. Rocco, Enrico Zio
Addresses: Division de Computacion Evolutiva (CEANI), Instituto de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria (IUSIANI), Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain. ' Universidad Central de Venezuela, Facultad de Ingenieria, Caracas, Venezuela. ' Dipartimento di Ingegneria Nucleare, Politecnico di Milano, Milan, Italy
Abstract: This paper proposes the use of multiple objective evolutionary algorithms and interval arithmetic for the robust reliability design of complex systems such as those employed in nuclear engineering. A numerical example, relative to the residual heat removal system of a nuclear power plant, is presented to illustrate the benefits of the approach.
Keywords: decision making; interval arithmetic; maximal volume inner box; multiple objectives; multiple objective evolutionary algorithms; MOEA; genetic algorithms; multiple-objective problems; nuclear power plants; NPP; nuclear energy; nondominated sorted genetic algorithm II; NSGA-II; nuclear systems; reliability analysis; residual heat removal systems; robust design; single objectives; nuclear engineering.
International Journal of Nuclear Knowledge Management, 2007 Vol.2 No.3, pp.333 - 345
Published online: 06 May 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article