Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

"…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …"
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

"…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …"

Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing حسب Al Sadawi, Alia

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Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

"…This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

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Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

"…It runs in linear time and requires very little data transmission. A series of experiments is conducted to gauge how the algorithm’s emphasis on minimal data transmission affects solution quality. …"
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A Scatter search algorithm for exam scheduling. (c2006) حسب Isahakian, Vatche Raffi

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Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

"…One of the PSO algorithms or versions is the social spider optimization (SSO) algorithm, a simulation of the interaction between spider groups, males and females. …"
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Optimizing Energy Consumption of Cloud Computing IaaS حسب Mohamed, Huda Ibrahim

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Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

"…The main contributions of this work are two evolutionary approaches to this optimization problem. In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …"
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Parallel physical optimization algorithms for allocating data to multicomputer nodes حسب Mansour, Nashat

"…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …"
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

"…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …"
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The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

"…Recent advances in algorithm design have shown a growing interest in seeking exact solutions to many hard problems. …"
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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …"
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) حسب Kozhaya, David Elias

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Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations حسب Mansour, Nashat

"…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. …"
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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

الموضوعات: "…Algorithms…"
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …"
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