بدائل البحث:
constrained optimization » unconstrained optimization (توسيع البحث)
inspired optimization » based optimization (توسيع البحث)
يعرض 1 - 20 نتائج من 92 نتيجة بحث عن '(( inspired optimization algorithm ) OR ( constrained optimization algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

    منشور في 2021
    "…The test suite of benchmark function is recently designed for the special session of EAs competition in IEEE Congress on Evolutionary Computation (IEEE-CEC′13). The suggested algorithm has approximated promising solutions with good convergence and diversity maintenance for most of the used bound constrained single optimization problems. …"
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    Whale optimization algorithm: analysis and full survey حسب Abualigah, Laith

    منشور في 2024
    "…The whale optimization algorithm (WOA) is a metaheuristic algorithm inspired by the hunting behavior of humpback whales. …"
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    Squirrel Search Algorithm for Portfolio Optimization حسب Dhaini, Mahdi

    منشور في 2019
    "…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …"
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    masterThesis
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    GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing حسب Abualigah, Laith

    منشور في 2024
    "…In this article, we introduce GIJA (Geyser‐inspired Jaya Algorithm), a novel optimization approach tailored for task scheduling in cloud computing environments. …"
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    A Recent Advances of Bat-inspired Algorithm حسب Abou Doush, Iyad

    منشور في 2022
    "…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …"
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    Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms حسب Zhongqiang Ma (13765801)

    منشور في 2023
    "…Generally, the inventors attribute the novelties of these new algorithms to inspirations from either biology, human behaviors, physics, or other phenomena. …"
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    Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective حسب Mir, Imran

    منشور في 2023
    "…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. …"
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    Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب Zouein, P. P.

    منشور في 2002
    "…loosely versus tightly constrained layouts. In most problems considered where the total-objects-to-site-area ratio did not exceed 60%, the algorithm returned close to optimal solutions in a reasonable time.…"
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    article
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    Arithmetic optimization algorithm: a review and analysis حسب Abualigah, Laith

    منشور في 2024
    "…As a result, it can perform diverse optimization tasks in different search spaces. This article reviews the behaviors of mathematics operations that inspire the main features of AOA, which is a metaheuristic algorithm. …"
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    Hybrid Bio-Inspired Routing Algorithms for Scalable and Adaptive Wireless Ad Hoc Networks حسب Santhosh Kumar, C.

    منشور في 2025
    "…Largescale simulations in different conditions with research variability in terms of node mobility, scale and density-prove that the presented algorithm is more robust than standard bio-inspired protocol and standalone bio-inspired protocols. …"
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    article
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    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

    منشور في 2021
    "…In MGWO, new optimization operators inspired by the TRIZ-inventive solution are coupled with the original GWO to increase the diversity of the population. …"
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    An Energy Efficient Wireless Sensor Network for Optimal Routing using Hybridized Bio-Inspired Technique حسب Askarovich, Ulashev Hubbim

    منشور في 2025
    "…While clustering techniques, such as Low Energy Adaptive Clustering Hierarchy (LEACH), help reduce energy usage, they suffer from inefficient local searches and poor exploration-exploitation balance.To address these limitations, this study proposes a hybrid bio-inspired optimization technique—Modified Harmony Search Algorithm (MHSA) combined with Competitive Swarm Optimization (CSO)—for optimal cluster head (CH) selection. …"
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    article