Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

“…In finding the solution to issues related to multiclass feature selection, only articles on metaheuristic algorithms used for multiclass feature selection problems from the year 2000 to 2022 were reviewed about their different categories and detailed descriptions. …”
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On the steiner walk problem. (c2009) by Maarouf, Amina

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Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

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A fast exact sequential algorithm for the partial digest problem by Mostafa M. Abbas (17058093)

“…The algorithm is able to find all possible solutions for the input and works by traversing the solution tree with a breadth-first search in two stages and deleting all repeated subproblems. …”

Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement by Sait, Sadiq M.

“…A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. …”
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A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem by AlSultan, K.S.

“…In this paper, we propose a new approach to this problem which is based on tabu search technique, and aims at finding a global solution of FCP. We compare the performance of the algorithm with the fuzzy Cmeans algorithm.…”
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A fast constructive algorithm for fixed channel assignment problem by Khan, J.A.

“…In this work, a fast constructive algorithm is introduced to solve the problem. The objective of the algorithm is to obtain a conflict free channel assignment to cells which satisfies traffic demand requirements. …”
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by El-Amin, I.

“…The implicit enumeration algorithm was used to check the validity and the quality of the Tabu search solution. …”
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by Duffuaa, S. O.

“…The implicit enumeration algorithm was used to check the validity and the quality of the Tabu search solution. …”
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The effect of different stopping criteria on multi-objective optimization algorithms by Abu Doush, Iyad

“…One critical aspect of any evolutionary algorithm (EA) is the stopping criterion. The selection of a specific stopping criterion can have a considerable effect on the performance and the final solution provided by the EA. …”
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm by Abido, M. A.

“…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …”
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Parallel physical optimization algorithms for allocating data to multicomputer nodes by Mansour, Nashat

“…The performances of these algorithms are evaluated and compared. The three parallel algorithms maintain the good solution qualities of their sequential counterparts. …”
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Bee colony algorithm for assigning proctors to exams. (c2013) by Taha, Mohamad Kassem

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The effect of different stopping criteria on multi-objective optimization algorithms by El-Abd, Mohammed

“…One critical aspect of any evolutionary algorithm (EA) is the stopping criterion. The selection of a specific stopping criterion can have a considerable effect on the performance and the final solution provided by the EA. …”
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Environmental/economic power dispatch using multiobjective evolutionary algorithms by Abido, M.A.

“…This paper presents a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) problem. …”
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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An intensive and comprehensive overview of JAYA algorithm, its versions and applications by Abou Doush, Iyad

“…The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. …”
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

“…Results show that on all test cases, the Simulated Evolution algorithm exhibits a more intelligent search of the solution subspace and was able to find better solutions than Simulated Annealing and Esau–Williams algorithm. …”
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Parallel scatter search algorithms for exam timetabling. (c2009) by Haidar, Ghia Abdullah Sleiman

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Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

“…An important feature of these algorithms is that they deviate from the operation of their sequential counterparts in order to achieve reasonable speed-ups and, yet, they maintain similar solution qualities. …”
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