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Showing 101 - 120 results of 616 for search '((evolutionary OR solutionary) OR (evolution OR solution)) (algorithms OR algorithm)', query time: 0.11s Refine Results
  1. 101
    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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  2. 102
    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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  3. 103
    Minimizing using BBO and DFO methods

    Minimizing using BBO and DFO methods by El Zeghondy, Jean

    Published 2022
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  4. 104
    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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  5. 105
    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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  6. 106
    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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  7. 107
    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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  8. 108
    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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  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 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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  10. 110
    Test case generation for path coverage. (c2000)

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

    Published 2000
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  11. 111
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

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

    Published 2000
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  12. 112
    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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  13. 113
    Parallel physical optimization algorithms for allocating data to multicomputer nodes

    Parallel physical optimization algorithms for allocating data to multicomputer nodes by Mansour, Nashat

    Published 1994
    “…The parallel genetic algorithm (PGA) is based on a natural model of evolution. …”
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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
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

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

    Published 1992
    “…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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  17. 117
    On the steiner walk problem. (c2009)

    On the steiner walk problem. (c2009) by Maarouf, Amina

    Published 2009
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  18. 118
    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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  19. 119
    A fast exact sequential algorithm for the partial digest problem

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

    Published 2016
    “…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. …”
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  20. 120
    A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem

    A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem by AlSultan, K.S.

    Published 2020
    “…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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