بدائل البحث:
function optimization » reaction optimization (توسيع البحث), formulation optimization (توسيع البحث), generation optimization (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
based function » based functional (توسيع البحث), basis function (توسيع البحث), basis functions (توسيع البحث)
levels based » level based (توسيع البحث), models based (توسيع البحث), cells based (توسيع البحث)
linac based » lines based (توسيع البحث)
based work » based network (توسيع البحث)
function optimization » reaction optimization (توسيع البحث), formulation optimization (توسيع البحث), generation optimization (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
based function » based functional (توسيع البحث), basis function (توسيع البحث), basis functions (توسيع البحث)
levels based » level based (توسيع البحث), models based (توسيع البحث), cells based (توسيع البحث)
linac based » lines based (توسيع البحث)
based work » based network (توسيع البحث)
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Comparison of optimization results obtained for experimental classical benchmark functions.
منشور في 2022الموضوعات: -
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Improved NSGA-II algorithm flowchart.
منشور في 2024"…<div><p>To address the issue of insufficiently comprehensive representation of service composition indexes in the shared manufacturing environment, service reliability, confidence, and other indexes are decomposed in detail to establish a composition evaluation system, and a shared manufacturing service composition optimization model based on bi-level programming is proposed. …"
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Features selected by optimization algorithms.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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Function graph and algorithm iterative graph.
منشور في 2024"…This paper presents an effective technique to minimize the SLL and thus improve the radiation pattern of the linear antenna array (LAA) using the chaotic inertia-weighted Wild Horse optimization (IERWHO) algorithm. The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …"
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Flowchart of proposed fitness function algorithm.
منشور في 2025"…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …"
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Performance of the three algorithms.
منشور في 2024"…An integrated framework based on a novel genetic algorithm and the Frank—Wolfe algorithm is designed to solve the stochastic model. …"
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Impact of the resource level on the CVaR-R value.
منشور في 2024"…An integrated framework based on a novel genetic algorithm and the Frank—Wolfe algorithm is designed to solve the stochastic model. …"
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