A new global optimization algorithm for mixed-integer-discrete-continuous variables based on particles swarm optimization

2010 ◽  
Author(s):  
Ziyan Ren ◽  
Minh-Trien Pham ◽  
Wei Li ◽  
Chang Seop Koh
Keyword(s):  
Global Optimization ◽  
Optimization Algorithm ◽  
Mixed Integer ◽  
Continuous Variables ◽  
Global Optimization Algorithm ◽  
Swarm Optimization

DE-PSO: A NEW HYBRID META-HEURISTIC FOR SOLVING GLOBAL OPTIMIZATION PROBLEMS

2011 ◽  
Vol 07 (03) ◽  
pp. 363-381 ◽  
Author(s):  
MILLIE PANT ◽  
RADHA THANGARAJ ◽  
AJITH ABRAHAM
Keyword(s):  
Global Optimization ◽  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Optimization Problems ◽  
Real Life ◽  
Test Functions ◽  
Global Optimization Algorithm ◽  
Two Phase ◽  
Swarm Optimization ◽  
Life 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.

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