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ICDIM
2008
IEEE

Hybrid differential evolution - Particle Swarm Optimization algorithm for solving global optimization problems

9 years 1 months ago
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 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.
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICDIM
Authors Millie Pant, Radha Thangaraj, Crina Grosan, Ajith Abraham
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