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, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014 More
    • Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011 More
    • Noha Mohamed Ibrahiem Mohamed Hamza, "A constraint consensus memetic algorithm for solving constrained optimization problems", Taylor & Francis, 2014 More
    • Mohammed Abdel Basset Metwally Attia, "An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number", Elsevier B.V., 2019 More
    • Mohammed Abdel Basset Metwally Attia, "Krill herd ‎algorithm based ‎on cuckoo ‎search for ‎solving ‎engineering ‎optimization ‎problems", Springer, 2019 More
    Tweet