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Pattern optimization of PWR reactor using hybrid parallel Artificial Bee Colony

Safarzadeh, O., Zolfaghari, A., Zangian, M. and Noorikalkhoran, Omid 2014. Pattern optimization of PWR reactor using hybrid parallel Artificial Bee Colony. Annals of Nuclear Energy 63 , pp. 295-301. 10.1016/j.anucene.2013.08.011

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Abstract

In this paper, we propose a core reloading of pressurized water reactors technique based on a hybrid Artificial Bee Colony (ABC) algorithm. Our approach integrates the merits of both ABC algorithm and Particle Swarm Optimization (PSO). The neighborhood search scheme of the algorithm is improved by location of personally encountered the most flowers and location of highest concentration of flowers explored by the intact swarm. The probability of selecting food sources by onlooker in the proposed algorithm is enhanced through using roulette-wheel mechanism. To address the drawback of most optimization algorithms, this method has been parallelized, so that the runtimes may be greatly reduced by using a multiprocessor computer cluster. The proposed optimization method is applied to the cycle length maximization of a VVER-1000 core. Simulation results show that the proposed ABC method could have the advantages of original ABC, and is capable of producing low cost, fast, and reasonably accurate solutions.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Uncontrolled Keywords: ABC; PSO; Fuel management; VVER-1000; Parallel computation
Publisher: Elsevier Masson
ISSN: 0306-4549
Date of Acceptance: 2 August 2013
Last Modified: 21 Dec 2017 10:31
URI: http://orca.cf.ac.uk/id/eprint/107242

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