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  1. 101
    Algorithmic Study of Online Multi-Facility Location Problems

    Algorithmic Study of Online Multi-Facility Location Problems by Markarian, Christine

    Published 2022
    “…The latter is a worst-case analysis that compares the cost of the online algorithm to that of the optimal offline algorithm that is assumed to know all demands in advance. …”
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  2. 102
    Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)

    Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT) by AlHamaydeh, Mohammad

    Published 2017
    “…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …”
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  3. 103
    An Algorithm For Computing The Distance Between Two Circular Disks

    An Algorithm For Computing The Distance Between Two Circular Disks by Almohamad, H.A.

    Published 2020
    “…For the case where the points are at the circumferences, the problem has no analytical solutions [IBM J. Res. Develop. 34 (5) (1990)]. Instead, we propose for the latter case an iterative algorithm based on computing the distance between a fixed point and a circle. …”
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  4. 104
    Allocating data to distributed-memory multiprocessors by genetic algorithms

    Allocating data to distributed-memory multiprocessors by genetic algorithms by Mansour, Nashat

    Published 2016
    “…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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  5. 105
    A hybrid genetic algorithm for task allocation in multicomputers

    A hybrid genetic algorithm for task allocation in multicomputers by Mansour, Nashat

    Published 2018
    “…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …”
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  6. 106
    A genetic algorithm approach for regrouping service sites

    A genetic algorithm approach for regrouping service sites by Mansour, Nashat

    Published 2004
    “…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. In the first phase, the graph is decomposed into the required number of subgraphs (regions) using a tuned hybrid genetic algorithm. …”
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  7. 107
    Minimizing using BBO and DFO methods

    Minimizing using BBO and DFO methods by El Zeghondy, Jean

    Published 2022
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  8. 108
    A parallel optimization algorithm for the maximum clique problem. (c2008)

    A parallel optimization algorithm for the maximum clique problem. (c2008) by Rizk, Mohamad A.

    Published 2008
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  9. 109
    The effect of different stopping criteria on multi-objective optimization algorithms

    The effect of different stopping criteria on multi-objective optimization algorithms by Abu Doush, Iyad

    Published 2023
    “…Evolutionary multi-objective optimization (EMO) refers to the domain in which an evolutionary algorithm is applied to tackle an optimization problem with multiple objective functions. …”
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  10. 110
    The effect of different stopping criteria on multi-objective optimization algorithms

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

    Published 2021
    “…Evolutionary multi-objective optimization (EMO) refers to the domain in which an evolutionary algorithm is applied to tackle an optimization problem with multiple objective functions. …”
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  11. 111
    Multiclass feature selection with metaheuristic optimization algorithms: a review

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

    Published 2022
    “…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …”
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  12. 112
    Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement

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

    Published 1999
    “…A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. …”
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  13. 113
    A portable message passing distributed library for optimizing combinatorial problems with application to circuits testing. (c2007)

    A portable message passing distributed library for optimizing combinatorial problems with application to circuits testing. (c2007) by Maamoun, Ahmad

    Published 2007
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  14. 114
    Scatter search algorithm for the cross-dock door assignment problem

    Scatter search algorithm for the cross-dock door assignment problem by Tarhini, Abbas

    Published 2014
    “…In this paper, we implemented this evolutionary metaheuristic algorithm and tested it, then compared the results with those of another evolutionary algorithm, Genetic Algorithm (GA). …”
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  15. 115
    Natural optimization algorithms for the cross-dock door assignment problem

    Natural optimization algorithms for the cross-dock door assignment problem by Tarhini, Abbas A.

    Published 2016
    “…This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). …”
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  16. 116
    An intensive and comprehensive overview of JAYA algorithm, its versions and applications

    An intensive and comprehensive overview of JAYA algorithm, its versions and applications by Abou Doush, Iyad

    Published 2021
    “…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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  17. 117
    Cooperative Co-evolution using The Brain Storm Optimization Algorithm

    Cooperative Co-evolution using The Brain Storm Optimization Algorithm by El-Abd, Mohammed

    Published 2016
    “…In this paper, the implementation of a Cooperative Co-evolutionary BSO (CCBSO) algorithm that is based on the explicit space decomposition approach is investigated. …”
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  18. 118
    Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines

    Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines by Saleh, Ayat

    Published 2017
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  19. 119
    Test case generation for path coverage. (c2000)

    Test case generation for path coverage. (c2000) by Salame, Miran

    Published 2000
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  20. 120
    Using genetic algorithms to optimize software quality estimation models

    Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

    Published 2004
    “…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
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