Optimal design of power-system stabilizers using particle swarm optimization حسب Abido, M.A.

"…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …"
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An evolutionary algorithm for network topology design حسب Youssef, H.

"…The topology design of campus networks is a hard constrained combinatorial optimization problem, dictated by physical and technological constraints and must optimize several objectives. …"
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning حسب Sait, Sadiq M.

"…Further, we compared the results of the iterative heuristics with a modified FM algorithm, named PowerFM, which targets power optimization. …"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Parallel metaheuristic algorithm for exam timetabling حسب Mansour, Nashat

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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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Recent Versions and Applications of Sparrow Search Algorithm حسب Al-Betar, Mohammed Azmi

"…These extended versions are modifications and hybridization summarized with more focus on the motivations behind establishing these versions. Multi-objective SSA is also presented as another version to deal with Multi-objective optimization problems. …"
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Optimization metaheuristic for software testing حسب Mansour, Nashat

"…We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

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Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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A new bi-objective model of the urban public transportation hub network design under uncertainty حسب Firoozeh Kaveh (14150877)

"…For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. …"

Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls حسب SANAD, AYMAN ADEL AHMED

"…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …"
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Simultaneous stabilization of multimachine power systems viagenetic algorithms حسب Abdel-Magid, Y.L.

"…The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …"
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Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

"…This approach can be followed by other iterative (meta-) heuristics to find desirable solutions to optimization problems with noisy search space and possibly more than one objective. …"
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Computational Experience On Four Algorithms For The Hard Clustering Problem حسب AlSultan, K.S.

"…In this paper, we consider the problem of clustering m objects in c clusters. The objects are represented by points in n-dimensional Euclidean space, and the objective is to classify these m points into c clusters such that the distance between points within a cluster and its center is minimized. …"
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Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…This choice is dictated by physical and technological constraints and must optimize several objectives. Example of objectives are monetary cost, network delay, and hop count between communicating pairs. …"
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ONLINE CONTROL AND OPTIMIZATION OF DIRECTIONAL DRILLING حسب unknown

"…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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Online Control and Optimization of Directional Drilling حسب unknown

"…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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Graph contraction for physical optimization methods حسب Mansour, Nashat

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Timing driven genetic algorithm for standard-cell placement حسب Sait, Sadiq M.

"…As the algorithm starts converging toward generations with acceptable delay properties, the objective is dynamically adjusted toward optimizing area and routability. …"
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