Title :
A multiobjective Gaussian Quantum-inspired Particle Swarm approach applied to Electromagnetic Optimization
Author :
Lebensztajn, Luiz ; dos Santos Coelho, Leandro
Author_Institution :
Lab. de Eletromagnetismo Aplicado, Univ. de Sao Paulo, São Paulo, Brazil
Abstract :
In this paper, a Multiobjective Quantum-inspired Particle Swarm Optimization (MOQPSO) approach based on Gaussian distribution probability operator is proposed. Numerical results are reported to validate the proposed MOQPSO to solve the TEAM (Testing Electromagnetic Analysis Method) workshop benchmark problem 25. MOQPSO was capable of finding nondominated solutions that represent the good trade-offs among the objectives.
Keywords :
Gaussian distribution; electromagnetism; particle swarm optimisation; Gaussian distribution probability operator; TEAM; electromagnetic optimization; multiobjective Gaussian quantum-inspired particle swarm approach; testing electromagnetic analysis method; Automation; Evolutionary computation; Gaussian distribution; Laboratories; Particle swarm optimization; Quantum computing; Quantum mechanics; Random access memory; Testing; USA Councils;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481658
