An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation
Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-way test generation strategy (where t indicates the interaction strength) including Genetic Algorithms (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), Cuckoo Search (CS), Particle Swarm Optimizati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/14604/ http://umpir.ump.edu.my/id/eprint/14604/ http://umpir.ump.edu.my/id/eprint/14604/ http://umpir.ump.edu.my/id/eprint/14604/2/An%20experimental%20study%20of%20hyper-heuristic%20selection%20and%20acceptance%20mechanism%20for%20combinatorial%20t-way%20test%20suite%20generation%201.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/14604/http://umpir.ump.edu.my/id/eprint/14604/
http://umpir.ump.edu.my/id/eprint/14604/
http://umpir.ump.edu.my/id/eprint/14604/2/An%20experimental%20study%20of%20hyper-heuristic%20selection%20and%20acceptance%20mechanism%20for%20combinatorial%20t-way%20test%20suite%20generation%201.pdf