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  • Search: subject:"Bio-Inspired Computation"
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Year of publication
Subject
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Firefly Algorithm 2 Artificial Intelligence 1 Bees Algorithm 1 Bio Inspired Computation 1 Bio-Inspired Computation 1 Chaos Theory 1 Complex Continuous Functions 1 Foraging Algorithm 1 HFBA 1 Optimisation 1 Search Based Software Engineering 1 Self-Organizing Systems 1 Software Testing 1 Swarm Intelligence 1 Test Suite Optimization 1
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Undetermined 2
Type of publication
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Article 2
Language
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English 2
Author
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Banerjee, Soumya 1 Debbat, Fatima 1 Nemmich, Mohamed Amine 1 Pandey, Abhishek 1 Slimane, Mohamed 1
Published in...
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International Journal of Applied Metaheuristic Computing (IJAMC) 1 International Journal of Organizational and Collective Intelligence (IJOCI) 1
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Other ZBW resources 2
Showing 1 - 2 of 2
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A Novel Hybrid Firefly Bee Algorithm for Optimization Problems
Nemmich, Mohamed Amine; Debbat, Fatima; Slimane, Mohamed - In: International Journal of Organizational and Collective … 8 (2018) 4, pp. 21-46
The Bees Algorithm (BA) is a recent and powerful foraging algorithm which imitates the natural behaviour of bees. However, it suffers from certain limitations, essentially in the initialization step of the research areas, which is generally random and depends on the individuals' number in the...
Persistent link: https://www.econbiz.de/10012046790
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Cover Image
Test Suite Optimization Using Chaotic Firefly Algorithm in Software Testing
Pandey, Abhishek; Banerjee, Soumya - In: International Journal of Applied Metaheuristic … 8 (2017) 4, pp. 41-57
Software testing is time consuming and a costly activity. Effective generation of test cases is necessary in order to perform rigorous testing. There exist various techniques for effective test case generation. These techniques are based on various test adequacy criteria such as statement...
Persistent link: https://www.econbiz.de/10012042953
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