A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems حسب Agushaka, Jeffrey O.

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A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

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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. …"

A new minimum curvator multi-step method for unconstrained optimization حسب Obeid, Samir

"…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …"
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Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

الموضوعات: "…Teaching–learning-based optimization algorithm…"
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Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks حسب El-Abd, Mohammed

"…This algorithm helps the MAC protocol resolve the contention among multiple nodes in accessing the wireless medium. …"
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Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks حسب El-Abd, Mohammed

"…This algorithm helps the MAC protocol resolve the contention among multiple nodes in accessing the wireless medium. …"
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Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms حسب El-Abd, Mohammed

"…The class of foraging algorithms is a relatively new field based on mimicking the foraging behavior of animals, insects, birds or fish in order to develop efficient optimization algorithms. …"
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Application of Red Deer Algorithm in Optimizing Complex functions حسب Zitar, Raed

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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems حسب Abualigah, Laith

"…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …"
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

"…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …"
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Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications حسب Daoud, Mohammad Sh.

الموضوعات: "…Gradient-Based Optimizer…"
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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abu Doush, Iyad

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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abou Doush, Iyad

"…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …"
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Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks حسب Abasi, Ammar

"…Coronavirus herd immunity optimizer (CHIO) is a recent metaheuristic human-based algorithm stemmed from the herd immunity mechanism as a way to treat the spread of the coronavirus pandemic. …"
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Brain Storm Optimization Algorithm حسب El-Abd, Mohammed

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