Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

“…The search accomplished by three types of bees over a number of iterations aiming to find the source with the highest nectar value (fitness value of a candidate solution). We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

“…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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An incremental approach for test scheduling and synthesis using genetic algorithms by Harmanani, H.

“…This paper presents a new and an efficient method for concurrent BIST synthesis and test scheduling. This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. …”
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A method for test scheduling using an evolutionary approach. (c2000) by Noujaim, Jad

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

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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

“…Thirty bound constrained benchmark functions are used to evaluate the performance of the proposed algorithm. …”

On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

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An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

“…We use an ant colony optimization algorithm in the adaptation process. …”
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An incremental approach for test synthesis and scheduling using genetic algorithms. (c2002) by Hajar, Aouni

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A hybrid distributed test generation method using deterministic and genetic algorithms by Harmanani, H.

“…The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. …”
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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 by Al-Hamouz, Z.M.

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Power-constrained system-on-a-chip test scheduling using a genetic algorithm by Harmanani, Haidar M.

“…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …”
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Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem by El Khoury, John

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Empirical comparison of regression test selection algorithms by Mansour, Nashat

“…The empirical results show that the five algorithms can be used for different requirements of regression testing. …”
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Metaheuristic Algorithm for State-Based Software Testing by 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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Natural optimization algorithms for optimal regression testing by Mansour, Nashat

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Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

“…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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