Adaptive temperature control of a reverse flow process by using reinforcement learning approach by A. Binid (22046054)

“…Additionally, a second algorithm is presented to enhance the implementability of the reinforcement learning algorithm from a practical perspective. …”

Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

“…Given the complexity of the pile/soil interaction problem in pile driving and the limitations of the one-dimensional wave equation analysis, the present research should be viewed as an effort towards finding a more general solution based on a continuum analysis.…”
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FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT by Sait, Sadiq M.

“…SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. …”
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An evolutionary approach to load balancing parallel computations by Mansour, Nashat

“…The experimental results show that the hybrid genetic algorithm can find solutions that are very close to the optimum.…”
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ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles by Mazouzi, Mohamed

“…The design of an efficient routing algorithm for the Internet of Vehicles (IoV) poses several problems due to its special characteristics, including nodes high-speed mobility, frequent topology change, link instability, and the presence of radio obstacles. …”
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Protein structure prediction in the 3D HP model by Abu-Khzam, Faisal

“…Starting from a small set of potential solutions, our algorithm efficiently explores the search space of candidate solutions and returns 3D protein structures with minimal energy. …”
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Scatter search for homology modeling by Mansour, Nashat

“…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. SS is an evolutionary approach that is based on a population of candidate solutions. …”
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Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

“…The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …”
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Mapping realistic data sets on parallel computers by Mansour, N.

“…The experimental results show that the GC algorithm still leads to good quality mapping solutions to the original problem, while producing remarkable reductions in mapping time. …”
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Particle swarm optimization approach for protein structure prediction in the 3D HP model by Mansour, Nashat

“…Starting from a small set of candidate solutions, our algorithm efficiently explores the search space and returns 3D protein structures with minimal energy. …”
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A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

“…Using the integro-differential equation for the radiative intensity in these models results in a system of coupled equations for which its numerical solution is computationally very demanding. In the present study, we develop a class of efficient reduced models for phase-change problems accounting for grey thermal radiation. …”
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Optimization metaheuristic for software testing by Mansour, Nashat

“…This paper presents an evolutionary method for testing web applications. …”
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Enhancement of blocking performance in all-optical WDM networks. (c2012) by Joun, Carla J.

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Toward automatic motivator selection for autism behavior intervention therapy by Siyam, Nur

“…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …”
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Unit commitment by tabu search by Mantawy, A.H.

“…An application of the tabu search (TS) method to solve the unit commitment problem (UCP) is presented. The TS seeks to counter the danger of entrapment at a local optimum by incorporating a memory structure that forbids or penalises certain moves that would return to recently visited solutions. …”
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Repeat Inspection Planning Using Dynamic Programming by Elshafei, M.

“…The dynamic programming algorithm searches for a solution that minimizes the total cost of inspection per accepted component. …”
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Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids by Alshaal, Dima

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Repeat Inspection Planning Using Dynamic Programming by Duffuaa, S. O.

“…The dynamic programming algorithm searches for a solution that minimizes the total cost of inspection per accepted component. …”
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Autonomous Vehicles Delivery Systems: Analyzing Vehicle Routing Problems with a Moving Depot by Madani, Batool Mezar

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Radar Pulse Interleaving For Multi-Target Tracking by Elshafei, M.

“…In this paper, we present new tight 0-1 integer programming models for the radar pulse interleaving problem and develop effective solution methods based on Lagrangian relaxation techniques.…”
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