MOEO-EED: A multi-objective equilibrium optimizer with exploration–exploitation​ dominance strategy

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Knowledge-Based Systems Elsevier Volume: 214
Keywords : MOEO-EED: , multi-objective equilibrium optimizer with exploration–exploitation​    
Abstract:
The work proposes multi-objective variants of the recently-proposed equilibrium optimizer (EO) using an archive to obtain Pareto optimal solutions and a crowding distance approach to preserve the diversity among the non-dominated solutions.
   
     
 
       

Author Related Publications

    Department Related Publications

    • Saber Mohamed, "Online Generation of Trajectories for Autonomous Vehicles using a Multi-Agent System", IEEE, 2014 More
    • Saber Mohamed, "Parameters Adaptation in Differential Evolution", IEEE, 2012 More
    • Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012 More
    • Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014 More
    • Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014 More
    Tweet