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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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

"…In this paper, we design and adapt a Squirrel Search Algorithm (SSA) for the unconstrained and constrained portfolio optimization problems. …"
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Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms حسب El-Abd, Mohammed

"…This work provides a complete performance assessment of the four mentioned algorithms in comparison to the widely known differential evolution (DE), genetic algorithms (GAs), harmony search (HS), and particle swarm optimization (PSO) algorithms when applied to the problem of unconstrained nonlinear continuous function optimization. …"
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Implementation of trust region methods in optimization. (c1998) حسب Hajj, Mohammed Omar

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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.

"…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …"
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