Hybrid Differential Evolution - Particle Swarm Optimization Algorithm for Solving Global Optimization Problems

This paper presents a simple, hybrid two phase global optimization algorithm called DE-PSO for solving global optimization problems. DE-PSO consists of alternating phases of differential evolution (DE) and Particle Swarm Optimization (PSO). The algorithm is designed so as to preserve the strengths o...

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Bibliographic Details
Published in:2008 Third International Conference on Digital Information Management pp. 18 - 24
Main Authors: Pant, M., Thangaraj, R., Grosan, C., Abraham, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2008
Subjects:
Algorithm design and analysis
Genetic mutations
Hybrid power systems
Iterative algorithms
Life testing
Paper technology
Particle swarm optimization
Quality of service
Random number generation
Stochastic processes
ISBN:9781424429165, 1424429161
Online Access:Get full text
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Summary:This paper presents a simple, hybrid two phase global optimization algorithm called DE-PSO for solving global optimization problems. DE-PSO consists of alternating phases of differential evolution (DE) and Particle Swarm Optimization (PSO). The algorithm is designed so as to preserve the strengths of both the algorithms. Empirical results show that the proposed DE-PSO is quite competent for solving the considered test functions as well as real life problems.
ISBN:9781424429165
1424429161
DOI:10.1109/ICDIM.2008.4746766