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    Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

    Published 2024
    Subjects: “…SALP swarm optimization…”
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    Particle swarm optimization algorithm: review and applications by Abualigah, Laith

    Published 2024
    Subjects: “…Particle swarm optimization…”
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    Social spider optimization algorithm: survey and new applications by Abualigah, Laith

    Published 2024
    Subjects: “…Particle swarm optimization…”
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    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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    Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation by Abualigah, Laith

    Published 2023
    “…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …”
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    Optimal design of power-system stabilizers using particle swarm optimization by Abido, M.A.

    Published 2002
    “…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …”
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    Particle swarm optimization for multimachine power systemstabilizer design by Abido, A.A.

    Published 2001
    “…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
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    article
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    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

    Published 2022
    “…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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