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

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.

Karam mohamed goda, "Hybrid Gene Selection Methods of Microarray Data for Cancer Classification", International Journal of Graphics & Image Processing |Vol 2|issue 3|August 2012 , 2013 More
mahmoud mohamed ismail ali, "A parallel branch and bound algorithm for solving large scale integer programming problems", Natural Sciences Publiching Cor, 2014 More
Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014 More
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