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    A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch by Abido, A.A.

    Published 2001
    “…A new nondominated sorting genetic algorithm (NSGA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. …”
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    article
  4. 64

    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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    article
  5. 65

    Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests by Kenneth V. Price (17877002)

    Published 2023
    “…<p>Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal—like the final fitness values of multiple trials—but for many benchmarks, a trial can also terminate once it reaches a prespecified target value. …”
  6. 66

    Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing by Abualigah, Laith

    Published 2024
    “…Overall, our proposed Improved Jaya Synergistic Swarm Optimization Algorithm offers a promising solution for optimizing TSCC (TSCC), contributing to enhanced resource utilization and system performance in cloud-based applications. …”
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    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    Published 2022
    “…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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  9. 69

    Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog... by Mutasim Baba, Fuad

    Published 2023
    “…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …”
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  10. 70

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

    Published 2016
    “…The Brain Storm Optimization (BSO) algorithm is a powerful optimization approach that has been proposed in the past few years. …”
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  11. 71

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

    Published 1994
    “…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …”
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    article
  12. 72

    A Survey of cuckoo search algorithm: optimizer and new applications by Abualigah, Laith

    Published 2024
    “…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …”
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  13. 73

    Recent Advances in Butterfly Optimization Algorithm, Its Versions and Applications by Abasi, Ammar

    Published 2023
    “…The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based optimization algorithm. …”
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  14. 74

    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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    masterThesis
  15. 75

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

    Published 1992
    “…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
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    masterThesis
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    Optimal selection of the forgetting matrix into an iterative learning control algorithm by Saab, Samer S.

    Published 2005
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …”
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    article
  19. 79

    Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm by Abido, M. A.

    Published 2005
    “…A new Strength Pareto Evolutionary Algorithm based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and non-commensurable objectives. …”
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    article
  20. 80

    Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches by Abdulla Alhajeri, Rashed

    Published 2020
    “…It is important to choose the right cleaning strategy (method and frequency) to maximize the electricity production and economic performance of the PV facility. An optimization algorithm was developed and tested for multiple PV panel configurations based in Dubai Water and Electricity Authority’s (DEWA) outdoor test facil ity (OTF) solar lab. …”
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