Efficient methods and techniques for the open-shop scheduling problem. (c2006) حسب Bou Ghosn, Steve

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A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System حسب Ameema Zainab (16864263)

Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller حسب Sk. A., Shezan

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The Use of Microwave Tomography in Bone Healing Monitoring حسب Alkhodari, Mohanad Ahmed

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On the periodic hierarchical Chinese postman problem حسب Muhammed Emre Keskin (19457413)

A new tabu search algorithm for the long-term hydro scheduling problem حسب Mantawy, A.H.

"…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …"
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Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem حسب Montawy, A.H.

"…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …"
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A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem حسب Mantawy, A. H.

"…This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu search methods to solve the unit commitment problem. …"
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب Zouein, P. P.

"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …"
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Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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A three-stage hybrid heuristic algorithm for the capacitated vehicle routing problem. (c2016) حسب Kfoury, Muhib S.

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Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks حسب Abu-Khzam, Faisal N.

"…We consider the problem of dominating set-based virtual backbone used for routing in asymmetric wireless ad-hoc networks. …"
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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

"…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"

Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…The Extended Kalman Filter (EKF) is used for state estimation with proper clutter and detection models. …"
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Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem حسب El Khoury, John

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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

"…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …"
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Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

"…The goal of this thesis is to develop two MATLAB codes for the numerical algorithm of [1]. To solve nonlinear differential equations we use Runge-Kutta method of fourth order, and for the minimization part, we use two different methods, namely Nelder-Mead and Model Based Descent methods. …"
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