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An innovative design of a hybrid chain coding algorithm for
bi-level image compression using an agent-based modeling
approach Applied Soft Computing |
On-site hydrolytic enzymes production from fungal co-cultivation of Bermuda grass and corn cob Bioresource Technology |
A new chain coding mechanism stimulated by a virtual environment of a predator–prey ecosystem Future Generation Computer Systems |
RGA: A lightweight and effective regeneration genetic algorithm for coverage-oriented software test data generation Information and Software Technology |
The multidimensional causal factors of ‘wet litter’ in chicken-meat production Science of The Total Environment |
Sustainability evaluation of pasteurized milk production with a life cycle assessment approach: An Iranian case study Science of The Total Environment |
Recent advances in in vitro embryo production in small ruminants Theriogenology |
Citation to this article as recorded by
Iantovics, L.B. and C. Rotar, 2016. A novel metric for comparing the intelligence of two swarm multiagent systems. J. Artif. Intel., 9: 39-44. CrossRefDirect Link |
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The Role of Swab Tests to Decrease the Stress by COVID-19 on the Health System using AI, MLR & Statistical Analysis The Role of Swab Tests to Decrease the Stress by COVID-19 on the Health System using AI, MLR & Statistical Analysis |
The Role of Artificial Intelligence, MLR and Statistical Analysis in Investigations about the Correlation of Swab Tests and Stress on Health Care Systems by COVID-19 Information Vol. 11, Issue 9, 454, 2020 |
How to cite this article
Bestoun S. Ahmed and Kamal Z. Zamli, 2012. A Greedy Particle Swarm Optimization Strategy for T-way Software Testing. Journal of Artificial Intelligence, 5: 85-90.
DOI: 10.3923/jai.2012.85.90
URL: https://scialert.net/abstract/?doi=jai.2012.85.90
DOI: 10.3923/jai.2012.85.90
URL: https://scialert.net/abstract/?doi=jai.2012.85.90