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

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Squirrel Search Algorithm for Portfolio Optimization حسب Dhaini, Mahdi

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

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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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Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

"…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
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Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

"…Reflected residual vector quantization (RRVQ) is an alternative design algorithm for the RVQ structure with a smaller computation burden. …"
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