Island flower pollination algorithm for global optimization حسب Al-Betar, Mohammed Azmi

"…Comparing the results of IsFPA with those of state-of-the-art methods which are FPA, genetic algorithm (GA), particle swarm optimization (PSO), gravitational search algorithm (GSA), multi-verse optimizer (MVO), island bat algorithm (iBA), and island harmony search (iHS), the comparison results show that the IsFPA is able to control the diversity and improves the outcomes where IsFPA is ranked first followed by FPA, iBA, iHS, GSA, MVO, GA, PSO, respectively, based on the Friedman test with Holm and Hochberg as post hoc statistical test.…"
احصل على النص الكامل
احصل على النص الكامل

A simulated annealing-based optimal controller for a three phase induction motor حسب Mantawy, A.H.

"…This paper presents a new approach for optimal controller design of a three-phase induction motor (IM), based on using the simulated annealing (SA) method to find the optimal controller gains that satisfy a specific performance criterion. …"
احصل على النص الكامل
احصل على النص الكامل

Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization حسب De Rochechouart, Maxence

"…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …"
احصل على النص الكامل

Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization حسب Aly, Islam Adel Helmy

احصل على النص الكامل

Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

الموضوعات: "…Teaching–learning-based optimization algorithm…"
احصل على النص الكامل

Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks حسب Bekir Sait Ciftler (17541801)

"…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"

Four quadrant robust quick response optimally efficient inverterfed induction motor drive حسب Islam, S.M.

"…A new approach for controlling the speed of an inverter-fed induction motor which operates with variable flux for high-efficiency purposes is presented. …"
احصل على النص الكامل
احصل على النص الكامل

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

الموضوعات: احصل على النص الكامل
احصل على النص الكامل

ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation حسب Said Mahfoud (17150968)

"…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …"

Optimization of Battery Electric Bus Charging under Varying Operating Conditions حسب Basma, Hussein

"…This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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). …"
احصل على النص الكامل

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

الموضوعات:

The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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

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

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

الموضوعات: "…Gradient-Based Optimizer…"
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). …"

A stochastic iterative learning control algorithm with application to an induction motor حسب Saab, Samer S.

"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abu Doush, Iyad

احصل على النص الكامل

The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abou Doush, Iyad

"…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …"
احصل على النص الكامل
احصل على النص الكامل

Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks حسب Abasi, Ammar

"…Coronavirus herd immunity optimizer (CHIO) is a recent metaheuristic human-based algorithm stemmed from the herd immunity mechanism as a way to treat the spread of the coronavirus pandemic. …"
احصل على النص الكامل
احصل على النص الكامل