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. …"
احصل على النص الكامل
احصل على النص الكامل

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

الموضوعات: احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

"…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations حسب Mansour, Nashat

"…For example, the annealing and genetic algorithms produce better solutions and do not show a bias towards particular problem structures, but they are slower than the neural network algorithms. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل

Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive حسب Hassen Moussa (19759911)

"…<p dir="ltr">This paper proposes firstly a Second Order Sliding Mode Control (SOSMC) based on a Super Twisting Algorithm (STA) (SOSMC-STA) combined with a Direct Field-Oriented Control (DFOC) strategy of a Five-Phase Induction Motor (FPIM). …"

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. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل