Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages: 216-233
Authors:
Saber Mohamed
Journal: Information Sciences ELSEVIER Volume:
Keywords : Self-adaptive , , Particle Swarm Methodologies , Constrained Optimization    
Abstract:
In recent years, many different variants of the particle swarm optimizer (PSO) for solving optimization problems have been proposed. However, PSO has an inherent drawback in handling constrained problems, mainly because of its complexity an
    
     
 
       

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  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
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  • Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014 More
  • Saber Mohamed, "A Self-Adaptive Combined Strategies Algorithm for Constrained Optimization using Differential Evolution", ELSEVIER, 2014 More
  • Saber Mohamed, "Adaptive Configuration of Evolutionary Algorithms for Constrained Optimization", ELSEVIER, 2013 More

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