Genetic algorithm based test data generator حسب Hermadi, Irman

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Web Applications Security Testing: Genetic Algorithms Based Test Data Generator حسب unknown

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A genetic algorithm for testable data path synthesis حسب Harmanani, H.

"…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …"
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An algorithm for solving bond pricing problem حسب Dibeh, Ghassan

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Security testing and evaluation of cryptography algorithms. (c2003) حسب Otrok, Hady Ahmad

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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem حسب Haraty, Ramzi A.

"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach حسب unknown

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Data Generation for Path Testing حسب Mansour, Nashat

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An evolutionary algorithm for solving the geometrically constrained site layout problem حسب Zouein, P.

"…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators حسب Al-Hamouz, Z.M.

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Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem حسب Al-Mulhem, M.

"…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …"
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Modified clarke wright algorithms for solving the realistic vehicle routing problem حسب Shour, Amina

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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب Zouein, P. P.

"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …"
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Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits حسب El-Maleh, Aiman H.

"…Testing system-on-chips involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the chip under test during test application. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

"…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
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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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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing حسب Al Sadawi, Alia

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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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