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

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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems حسب Agushaka, Jeffrey O.

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

"…Numerical comparison between the new algorithm and other multistep algorithms reveal the merits of the new approach.…"
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Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

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Implementation of trust region methods in optimization. (c1998) حسب Hajj, Mohammed Omar

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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

الموضوعات:

Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications حسب Daoud, Mohammad Sh.

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Application of Red Deer Algorithm in Optimizing Complex functions حسب Zitar, Raed

الموضوعات: "…RD algorithm…"
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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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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

"…Many techniques have been proposed in the literature to solve multi-objective optimization problems including NSGA-II, MOEA/D and MOPSO algorithms. …"
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Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks حسب Abasi, Ammar

"…The external archive is implemented during the algorithm evolution, and it saves the best solutions to be used later. …"
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Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008) حسب Kanj, Fatima Hassan

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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches حسب Abdulla Alhajeri, Rashed

"…The algorithm’s input included electricity production, soiling rates (SRs), electricity price, and cleaning costs. …"
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Tabu search based circuit optimization حسب Sait, Sadiq M.

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Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants حسب Asad Hussain (10135049)

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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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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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

"…Given that Android applications are frequent targets for malware, ensuring the integrity of FL-based malware detection systems is critical. We introduce an attack framework that integrates Genetic Algorithms (GA) with two prominent adversarial techniques, namely, the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD), specifically designed for FL environments. …"