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21
Automated Mutation-Based Test Data Generation: Genetic Algorithm Game-Like Approach
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22
A Scatter search algorithm for exam scheduling. (c2006)
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24
Empirical comparison of regression test selection algorithms
Published 2001“…In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …”
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25
Natural optimization algorithms for optimal regression testing
Published 1997“…The algorithms are based on an integer programming problem formulation and the program's control-flow graph. …”
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26
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
Published 2022“…The IGOA was compared with several other proposed meta-heuristic algorithms. Moreover, the Wilcoxon signed-rank test further assessed the experimental results to conduct more systematic data analyses. …”
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27
The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…This new trend has been motivated by hardness of approximation results that appeared in the last decade, and has taken a great boost by the emergence of parameterized complexity theory. Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …”
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28
A comparative study of five regression testing algorithms
Published 1997“…We compare five regression testing algorithms that include: slicing, incremental, firewall, genetic and simulated annealing algorithms. …”
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29
Simulated Annealing and Genetic Algorithms for Optimal Regression Testing
Published 1999“…The algorithms are based on an integer programming problem formulation and the program’s control flow graph. …”
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30
Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem
Published 2025Subjects: -
31
Scatter search for protein structure prediction. (c2008)
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masterThesis -
32
An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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33
Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…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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34
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
35
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
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36
Design of adaptive arrays based on element position perturbations
Published 1993“…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …”
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37
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
Published 2023“…<p>Non-parametric tests can determine the better of two stochastic optimization algorithms when benchmarking results are ordinal—like the final fitness values of multiple trials—but for many benchmarks, a trial can also terminate once it reaches a prespecified target value. …”
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38
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…The search space is too large to be explored by deterministic algorithms. …”
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39
Regression testing web services-based applications
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40
UML-based regression testing for OO software
Published 2010“…When working with large and complex object-oriented systems, source code-based regression testing is usually costly. This paper proposes a programming-language-independent technique for regression test selection for object-oriented software based on Unified Modeling Language (UML 2.0) design diagrams. …”
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