Showing 81 - 100 results of 616 for search '((evolutionary OR evolutionary) OR (evolution OR solution)) (algorithms OR algorithm)', query time: 0.13s Refine Results
  1. 81
    Bee Colony Algorithm for Proctors Assignment.

    Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

    Published 2015
    “…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …”
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  2. 82
    Parallel metaheuristic algorithm for exam timetabling

    Parallel metaheuristic algorithm for exam timetabling by Mansour, Nashat

    Published 2010
    “…Exam timetabling is a computationally intractable problem, which requires heuristic techniques for producing good sub-optimal solutions within reasonable execution time. For large numbers of exams and students, sequential algorithms are likely to be time consuming. …”
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  3. 83
    Scalable Parallel Algorithms for FPT Problems

    Scalable Parallel Algorithms for FPT Problems by Abu-Khzam, Faisal N.

    Published 2006
    “…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …”
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  4. 84
    Improvement Algorithm for Limited Space Scheduling

    Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

    Published 2001
    “…An example illustrates the presented algorithm that generates a feasible space schedule.…”
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  5. 85
    Island flower pollination algorithm for global optimization

    Island flower pollination algorithm for global optimization by Al-Betar, Mohammed Azmi

    Published 2019
    “…Flower pollination algorithm (FPA) is a recent swarm-based evolutionary algorithm that was inspired by the biological evolution of pollination of the flowers. …”
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  6. 86
    Scatter Search algorithm for Protein Structure Prediction

    Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

    Published 2016
    “…SS is an evolutionary approach that is based on a population of candidate solutions. …”
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  7. 87
    Opposition-Based Artificial Bee Colony Algorithm

    Opposition-Based Artificial Bee Colony Algorithm by El-Abd, Mohammed

    Published 2011
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  8. 88
    Global-best Brain Storm Optimization Algorithm

    Global-best Brain Storm Optimization Algorithm by El-Abd, Mohammed

    Published 2018
    “…Brain storm optimization (BSO) is a population-based metaheuristic algorithm that was recently developed to mimic the brainstorming process in humans. …”
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  9. 89
    A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM

    A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…The Fuzzy clustering (FC) problem is a non-convex mathematical program which usually possesses several local minima. The global minimum solution of the problem is found using a simulated annealing-based algorithm. …”
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  10. 90
    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM

    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. …”
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  11. 91
    Metaheuristic Algorithm for State-Based Software Testing

    Metaheuristic Algorithm for State-Based Software Testing by Haraty, Ramzi A.

    Published 2018
    “…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …”
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  12. 92
    On-site workshop investment problem: A novel mathematical approach and solution procedure

    On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

    Published 2023
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  13. 93
    Artificial neural network algorithms. (c1999)

    Artificial neural network algorithms. (c1999) by Ramadan, Samer N.

    Published 1999
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  14. 94
    A Recent Advances of Bat-inspired Algorithm

    A Recent Advances of Bat-inspired Algorithm by Abou Doush, Iyad

    Published 2022
    “…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …”
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  15. 95
    A simulated annealing algorithm for unit commitment

    A simulated annealing algorithm for unit commitment by Mantawy, A.H.

    Published 1998
    “…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …”
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  16. 96
    Scalable parallel algorithms for difficult combinatorial problems

    Scalable parallel algorithms for difficult combinatorial problems by Abu-Khzam, Faisal N.

    Published 2004
    “…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …”
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  17. 97
    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 Abu Zitar, Raed

    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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  18. 98
    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines

    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

    Published 2015
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  19. 99
    A Tabu Search algorithm for mapping data to multicomputers. (c1997)

    A Tabu Search algorithm for mapping data to multicomputers. (c1997) by Diab, Kamal M.

    Published 1997
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  20. 100
    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…Results proofed effectiveness and outperformance of the proposed solution. The genetic algorithm was tested on several projects from the existing databases and on one new project to the validity of the approach. …”
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