Whale optimization algorithm: analysis and full survey حسب Abualigah, Laith

الموضوعات: "…Whale optimization algorithm…"
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

الموضوعات: "…text mining; ontology learning; hybrid models; genetic algorithms; whale optimization algorithm…"
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Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm حسب Hina Gupta (21842246)

"…This research aims to optimize ambulance services by strategically allocating resources to minimize response time. A modified Whale Optimization Algorithm (mWOA) is introduced to achieve this goal, focusing on providing 24 × 7 services to every patient in need. …"

Learn while Tracking حسب Saab, Samer S.

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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

الموضوعات:

Learn while tracking. (c2013) حسب Toukhtarian, Raffi

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An enhanced quorum selection algorithm حسب Haraty, Ramzi A.

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An Improved Quorum Selection Algorithm حسب Haraty, Ramzi A.

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Tracking analysis of normalized adaptive algorithms حسب Moinuddin, M.

"…Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.…"
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Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

"…We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …"
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A simulated annealing algorithm for unit commitment حسب Mantawy, A.H.

"…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …"
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Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

"…This parameter has major impact on the algorithm run-time and the quality of the solution subspace searched. …"
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Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

"…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …"
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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …"
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A Parallel Algorithm for Inverse Halftoning and its Hardware حسب Siddiqi, Umair F.

"…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …"
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An improved quorum selection algorithm (IQSA). (c2007) حسب Younes, Samer

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Algorithmic Study of Online Multi-Facility Location Problems حسب Markarian, Christine

"…To overcome facility failures and provide a robust solution, we investigate in this paper FL problems that require each client to be connected to multiple facilities, represented by an additional input parameter. The aim of the algorithm is then to provide a robust service to all clients while minimizing the total connecting and facility purchasing costs. …"
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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"