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  1. 1
    A new family of multi-step quasi-Newton algorithms for unconstrained optimization

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

    Published 1999
    “…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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  2. 2
    A family of minimum curvature variable-methods for unconstrained optimization. (c1998)

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

    Published 1998
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  3. 3
    Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems

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

    Published 2022
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  4. 4
    A new minimum curvator multi-step method for unconstrained optimization

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

    Published 1998
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  5. 5
    Squirrel Search Algorithm for Portfolio Optimization

    Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

    Published 2019
    “…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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  6. 6
    Implementation of trust region methods in optimization. (c1998)

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

    Published 1998
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  7. 7
    Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms

    Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms by El-Abd, Mohammed

    Published 2012
    “…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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  8. 8
    Iterative Least Squares Functional Networks Classifier

    Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

    Published 2007
    “…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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  9. 9
    Design and analysis of entropy-constrained reflected residual vector quantization

    Design and analysis of entropy-constrained reflected residual vector quantization by Mousa, W.A.H.

    Published 2002
    “…Reflected residual vector quantization (RRVQ) is an alternative design algorithm for the RVQ structure with a smaller computation burden. …”
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