Title
A Comparative Analysis of Quantum Inspired Evolutionary Algorithm with Differential Evolution, Evolutionary Strategy and Particle Swarm Optimization
Date Issued
01 November 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Singh A.
University of São Paulo
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
QIEA-R (Quantum Inspired Evolutionary Algorithm with Real Codification) inspired by the concept of quantum superposition was proposed for solving numerical optimization problems. QIEA-R was compared with Differential Evolution (DE) and Particle Swarm Optimization (PSO) on the dimension of 30 input variables. This study analyzes the performance of QIEA-R with Differential Evolution (DE), Evolutionary Strategy (ES) and Particle Swarm Optimization (PSO) on the dimension of 250, 500 and 1000 input variables. The experimental results show that QIEA-R is significantly better than DE, ES, and PSO.
Language
English
OCDE Knowledge area
Ciencia animal, Ciencia de productos lácteos
Métodos de investigación bioquímica
Subjects
Scopus EID
2-s2.0-85083113569
Resource of which it is part
2019 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019
ISBN of the container
978-172815666-8
Conference
6th IEEE Latin American Conference on Computational Intelligence, LA-CCI 2019
Sponsor(s)
This work is partially supported by Centro de Alto Rendimiento Computacional de la Amazona Peruana del Insti-tuto de Investigaciones de la Amazona Peruana - IIAP. Further information: www.iiap.org.pe/manati
Sources of information:
Directorio de Producción Científica
Scopus