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Mohamed Abdel-Basset

Researcher at Zagazig University

Publications -  143
Citations -  6448

Mohamed Abdel-Basset is an academic researcher from Zagazig University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 40, co-authored 84 publications receiving 4136 citations.

Papers
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Journal ArticleDOI

A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria

TL;DR: The results prove that quality is the most influential criterion in the selection of suppliers, and DEMATEL is considered a proactive approach to improve performance and achieve competitive advantages.
Journal ArticleDOI

A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem

TL;DR: The proposed hybrid whale algorithm (HWA) is incorporated with Nawaz–Enscore–Ham (NEH) to improve the performance of the algorithm and it is observed that HWA gives competitive results compared to the existing algorithms.
Book ChapterDOI

Metaheuristic Algorithms: A Comprehensive Review

TL;DR: This chapter aims to review of all metaheuristics related issues by dividing metaheuristic algorithms according to metaphor based and non-metaphor based in order to differentiate between them in searching schemes and clarify how the metaphor based algorithms simulate the selected phenomenon behavior in the search area.
Journal ArticleDOI

A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection

TL;DR: A new Grey Wolf Optimizer algorithm integrated with a Two-phase Mutation to solve the feature selection for classification problems based on the wrapper methods to reduce the number of selected features while preserving high classification accuracy.
Journal ArticleDOI

An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number

TL;DR: An illuminating example to confirm the suggested approach for multi attribute decision making issues, ordering the alternatives based on the accuracy function, and a novel T2NN-TOPSIS strategy combining type 2 neutrosophic numbers and TOPSIS under group decision making as application of T1NN.