A new genetic algorithm for solving optimization problems

Faculty Computer Science Year: 2013
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Engineering Applications of Artificial Intelligence ELSEVIER Volume: 57–69
Keywords : , , genetic algorithm , solving optimization problems    
Abstract:
Over the last two decades, many different genetic algorithms (GAs) have been introduced for solving optimization problems. Due to the variability of the characteristics in different optimization problems, none of these algorithms has shown
   
     
 
       

Author Related Publications

  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
  • Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013 More
  • 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, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More

Department Related Publications

  • Mohammed Abdel Basset Metwally Attia, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier‏, 2018 More
  • Mai Mohammed Abdul Sattar Jaafar, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier‏, 2018 More
  • Saber Mohamed, "A Constraint Consensus Memetic Algorithm for Solving Constrained Optimization Problems", Taylor & Francis, 2013 More
  • Saber Mohamed, "Self-Adaptive Differential Evolution Incorporating a Heuristic Mixing of Operators", Springer, 2012 More
  • Saber Mohamed, "Configuring Two-algorithm-based Evolutionary Approach for Solving Dynamic Economic Dispatch Problems", Elsevier, 2016 More
Tweet