Quantum mechanics inspired Particle Swarm Optimisation for global optimisation

Authors:
Radha Thangaraj;Millie Pant;Atulya K. Nagar;V. P. Singh
Affiliations:
Department of Paper Technology, Indian Institute of Technology Roorkee, Saharanpur, Uttrapradesh – 247001, India.;Department of Paper Technology, Indian Institute of Technology Roorkee, Saharanpur, Uttrapradesh – 247001, India.;Department of Computer Science, Liverpool Hope University, Liverpool, L16 9JD, UK;Department of Paper Technology, Indian Institute of Technology Roorkee, Saharanpur, Uttrapradesh – 247001, India
Venue:
International Journal of Artificial Intelligence and Soft Computing
Year:
2010

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Abstract

This paper presents a novel variant of quantum mechanics inspired Particle Swarm Optimisation (PSO) algorithm named constrained/unconstrained Quantum Particle Swarm Optimisation (CQPSO). The proposed algorithm has the properties of quantum mechanics embedded in the structure of the PSO along with the presence of a quadratic interpolation recombination operator. The performance of CQPSO is validated on three standard non linear, unconstrained functions, eight constrained benchmark problems and two constrained, real life, electrical design problems. The experimental results show that the presence of quadratic interpolation recombination operator enhances the performance of quantum mechanics inspired PSO.