Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …"
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Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem حسب Abido, M. A.

"…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
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Multiobjective evolutionary algorithms for electric power dispatch problem حسب Abido, M.A.

"…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
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A genetic algorithm approach for regrouping service sites حسب Mansour, Nashat

"…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. …"
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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines حسب Ali, Mustafa

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Three-phase simulated annealing algorithms for exam scheduling حسب Mansour, Nashat

"…We decompose the problem into three phases and propose simulated annealing algorithms for these phases. Hence, we refer to our solution methods as 3-phase simulated annealing (3PSA). …"
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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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Parallel physical optimization algorithms for allocating data to multicomputer nodes حسب Mansour, Nashat

"…They are based on simulated annealing, neural networks and genetic algorithms. …"
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A Scatter search algorithm for exam scheduling. (c2006) حسب Isahakian, Vatche Raffi

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Bee colony algorithm for assigning proctors to exams. (c2013) حسب Taha, Mohamad Kassem

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Parallel scatter search algorithms for exam timetabling. (c2009) حسب Haidar, Ghia Abdullah Sleiman

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

"…The technique proposed for large problems is based on a pre-mapping graph contraction heuristic algorithm, which results in a smaller search space. …"
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A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem حسب Mantawy, A. H.

"…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …"
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A simulated annealing algorithm for fuzzy unit commitment problem حسب Mantawy, A.H.

"…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …"
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Animal migration optimization algorithm: novel optimizer, analysis, and applications حسب Abualigah, Laith

"…Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. …"
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

"…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. …"
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm حسب Abido, M. A.

"…A new Strength Pareto Evolutionary Algorithm based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and non-commensurable objectives. …"
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Environmental/economic power dispatch using multiobjective evolutionary algorithms حسب Abido, M.A.

"…A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the EED as a true multiobjective optimization problem with competing and noncommensurable objectives. …"
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

"…Results show that on all test cases, the Simulated Evolution algorithm exhibits a more intelligent search of the solution subspace and was able to find better solutions than Simulated Annealing and Esau–Williams algorithm. …"
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