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MOEO-EED: A multi-objective equilibrium optimizer with exploration–exploitation dominance strategy
Faculty
Computer Science
Year:
2021
Type of Publication:
ZU Hosted
Pages:
Authors:
Staff Zu Site
Abstract In Staff Site
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.
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Saber Mohamed, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014
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Noha Mohamed Ibrahiem Mohamed Hamza, "A constraint consensus memetic algorithm for solving constrained optimization problems", Taylor & Francis, 2014
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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
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Mohammed Abdel Basset Metwally Attia, "Krill herd algorithm based on cuckoo search for solving engineering optimization problems", Springer, 2019
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