By Topic

Development of an Improved Particle Swarm Optimization Algorithm and Its Application in the Optimal Design of Nuclear Power System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chengyang Liu ; Nat. Defense Key Discipline Lab. of Nucl. Safety & Simulation Technol., Harbin, China ; Changqi Yan

This article focuses on the development of an improved particle swarm optimization algorithm and its application in the optimal design of the nuclear power system, whose goal is to find a combination of system parameter values that minimize the weight of the system given the power capacity requirement and safety criteria. An improved particle swarm optimization (IPSO) algorithm was developed using the feasibility rule constraints handling method, crossover and mutation operator. Using the improved compound shape algorithm to do the local search after the particle swarm reaches a satisfactory point. The algorithm gave satisfactory optimization results from both search efficiency and accuracy perspectives. This IPSO successfully solved the design optimization problem of nuclear power system. It is an advanced and efficient methodology that can be applied to the similar optimization problems in other areas.

Published in:

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Date of Conference:

27-29 March 2012