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[PDF] Top 20 A Tabu Search hyper heuristic strategy for t way test suite generation

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A Tabu Search hyper heuristic strategy for t way test suite generation

A Tabu Search hyper heuristic strategy for t way test suite generation

... the t-way test suite generation is not a single solution problem, there is a need for the outer loop to ensure convergence ...complete test suite covering all the required ... See full document

30

Search based Software Testing Technique for Structural Test Case Generation

Search based Software Testing Technique for Structural Test Case Generation

... metaheuristic search techniques for test case generation. The test aim is transformed into an optimization ...The search space is the input domain of the test object . The ... See full document

6

Tuning of cuckoo search based strategy for 
		t way testing

Tuning of cuckoo search based strategy for t way testing

... to search of optimal solution for a large search ...meta- heuristic algorithms have been developed in the literature (e.g. Tabu Search (Nurmela, 2004), Simulated Annealing (Stardom, ... See full document

6

Learning heuristic selection using a time delay neural network for open vehicle routing

Learning heuristic selection using a time delay neural network for open vehicle routing

... automated generation of heuristics [3] applied to a range of problems including boolean satisfiability, online bin packing, load balancing in networking, routing and ...learning generation ... See full document

8

An experimental study of hyper heuristic selection and acceptance mechanism for combinatorial t way test suite generation

An experimental study of hyper heuristic selection and acceptance mechanism for combinatorial t way test suite generation

... performance, hyper-heuristic based strategies appear to be more superior as compared to the meta-heuristic counterparts (as evidenced by the given results in Section ...best test suite ... See full document

33

A Memetic Algorithm for whole test suite generation

A Memetic Algorithm for whole test suite generation

... local search (every 100 generations) and a small budget of 25 s for local ...local search infrequently and with not a large ...local search (every 75 generations), and a small budget of five fitness ... See full document

18

A Proposed Study on Facility Planning and Design in Manufacturing Process

A Proposed Study on Facility Planning and Design in Manufacturing Process

... design. Heuristic methods for layout optimization are Tabu Search (TS), Simulated Annealing (SA), and Genetic Algorithms ...the heuristic methods, simulation technique is also recommended in ... See full document

6

A Memetic Algorithm for whole test suite generation

A Memetic Algorithm for whole test suite generation

... search does improve performance, one has to strike the right balance between the effort spent on local search and the one spent on global search ...the search operators in the ...local ... See full document

18

Tabu Search Energy Optimization of Optical Grid Networks

Tabu Search Energy Optimization of Optical Grid Networks

... considered as best solution until the next better solution is found. If, after certain number of intervals, a better solution is not found we perform diversification such that a solution is chosen from the available list ... See full document

68

A Genetic Algorithm is Used for Test Suite Generation Aimed for Evolutionary Testing

A Genetic Algorithm is Used for Test Suite Generation Aimed for Evolutionary Testing

... metaheuristic search technique that simulates the evolution of natural ...solve search and optimization ...next generation by applying genetic operators such as selection, crossover, and ...pairwise ... See full document

5

Test Cost Optimization Using Tabu Search

Test Cost Optimization Using Tabu Search

... Although crucial to software quality and widely deployed by programmers and testers, software testing still remains an art, due to limited understanding of the principles of software [1,2]. The software testing ... See full document

10

Use of Evolutionary Techniques for Symbolic Execution Based Testing

Use of Evolutionary Techniques for Symbolic Execution Based Testing

... is test data generation, which is categorized as NP-hard [52] or NP-complete [25] problem due to requirement of enormous efforts in finding the data out of large search space satisfying the complex ... See full document

6

Research on a Multi project Scheduling Optimization Algorithm with Resource Time Windows

Research on a Multi project Scheduling Optimization Algorithm with Resource Time Windows

... a heuristic algorithm based on Serial Scheduling Generated Scheme is designed to generate an initial solution and a tabu search algorithm is proposed to optimize the ... See full document

7

A stochastic local search algorithm with adaptive acceptance for high school timetabling

A stochastic local search algorithm with adaptive acceptance for high school timetabling

... selection hyper-heuristic can be defined as an easy-to-implement, easy-to-maintain and effective ‘heuristic to choose heuristics’ to solve such computationally hard ...(Hyper-heuristic ... See full document

18

A Comprehensive Study of Artificial Bee Colony (ABC) Algorithms and its Applications

A Comprehensive Study of Artificial Bee Colony (ABC) Algorithms and its Applications

... mathematical test functions with a unique neighborhood search ...a hyper- heuristic method, namely a Modified Choice Function (MCF), is applied such that it can regulate the selection of the ... See full document

8

Towards collaborative optimisation in a shared logistics environment for pickup and delivery operations

Towards collaborative optimisation in a shared logistics environment for pickup and delivery operations

... To the best of our knowledge this problem has lit- tle or no previously published research articles. Modi- fied but similar versions of the problem do sometimes appear as sub-problems in methodologies for vehi- cle ... See full document

6

A Meta-Heuristic Approach for Scheduling the Loads in DFS For Cloud Environment Using Tabu Search

A Meta-Heuristic Approach for Scheduling the Loads in DFS For Cloud Environment Using Tabu Search

... if tabu move improves the best solution compared with normal ...the tabu move is accepted to process and then the intensification and diversification methods are ...the search intensification the ... See full document

5

A granular tabu search algorithm for a real case study of a vehicle routing problem with a heterogeneous fleet and time windows

A granular tabu search algorithm for a real case study of a vehicle routing problem with a heterogeneous fleet and time windows

... granular search space introduced by Toth and Vigo (2003), which considers a sparse graph (uncompleted graph) instead of the complete graph for the ...the search, and the edges from which the travelling cost ... See full document

17

Randomized heuristics for the Capacitated Clustering Problem

Randomized heuristics for the Capacitated Clustering Problem

... We now undertake experiments to compare the new GRASP method, GRASP2-1, to the three previous GRASP methods in the entire set of instances. Note that the PrevGRASP2 method (Morán-Mirabal et al. 2013) was designed for the ... See full document

21

An Analogous t-Way Test Generation Strategy for Software Systems | MC-MIPOG

An Analogous t-Way Test Generation Strategy for Software Systems | MC-MIPOG

... As PC makers make multicore CPUs unavoidably accessible inside sensible costs, outfitting this innovation is never again an extravagance yet a feasible and helpful choice. In this paper, we explored and assessed a ... See full document

12

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