Cooperative clustering models for Vehicular ad hoc networks. (c2013) by Abdel Wahab, Omar Mohammad

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A linear programming approach for the weighted graph matchingproblem by Almohamad, H.A.

“…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a simplex-based algorithm. …”
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Simulated evolution for timing and low power VLSI standard cell placement by Sait, Sadiq M.

“…For this hard multiobjective combinatorial optimization problem, no known exact and efficient algorithms exist that guarantee finding a solution of specific or desirable quality. …”
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An innovative simulated annealing approach to the long-term hydroscheduling problem by Mantawy, A.H.

“…A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. …”
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Final exams scheduling for univeristies. (c2001) by Timany, Mazen Nuhad

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Studying cooperative multi-agent reinforcement learning in networks by Oudah, Mayada Mohamed

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Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

“…Scheduling and allocation can be formulated as an optimization problem. In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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A novel network-based SIS framework for improved GA performance by Tohme, Rawane

“…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …”
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Data Generation for Path Testing by Mansour, Nashat

“…These algorithms are based on an optimization formulation of the path testing problem which include both integer- and real-value test cases. …”
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Protein structure prediction in the 3D HP model by Abu-Khzam, Faisal

“…In this paper, we present a Particle Swarm Optimization (PSO) based algorithm for predicting protein structures in the 3D HP model. …”
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Reinforcement Learning-Based School Energy Management System by Yassine Chemingui (18891757)

“…For instance, in hot climate countries such as Qatar, buildings are high energy consumers due to air conditioning that resulted from high temperatures and humidity. Optimizing the building energy management system will reduce unnecessary energy consumptions, improve indoor environmental conditions, maximize building occupant’s comfort, and limit building greenhouse gas emissions. …”

Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares by ALMutawa, Jaafar

“…Since the LTS is combinatorial optimization problem the randomized algorithm has been proposed in order to achieve the optimal estimate. …”
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A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM by Al-Mohamad, HA

“…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a Simplex-based algorithm. …”
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Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

“…Integration of fuzzy systems with genetic algorithm has been identified by researchers as a useful technique of optimizing systems under uncertainty. …”
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Query acceleration in distributed database systems by Haraty, Ramzi A.

“…Many techniques and algorithms have been proposed to optimize queries. Perhaps one of the more important algorithms is the AHY algorithm using semi-joins that is implemented by Apers, Hevner and Yao in [1]. …”
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Charge and reduce by Abu-Khzam, Faisal N.

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Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement by Sait, Sadiq M.

“…VLSI standard cell placement is a hard optimization problem, which is further complicated with new issues such as power dissipation and performance. …”
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Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves by S. Andhale, Yogesh

“…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …”
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function by Boukas, EK

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Finite state machine state assignment for area and power minimization by El-Maleh, A.

“…The objectives are targeted as single/independent as well as multi-objective optimization (MOP) problems. Methods for estimating area and power of an FSM are presented. …”
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