Signal Generation for Search-Based Testing of Continuous Systems (2009)
Conference Proceeding
Windisch, A., & Al Moubayed, N. (2009). Signal Generation for Search-Based Testing of Continuous Systems. . https://doi.org/10.1109/icstw.2009.16

Test case generation constitutes a critical activity in software testing that is cost-intensive, time-consuming and error-prone when done manually. Hence, an automation of this process is required. One automation approach is search-based testing for... Read More about Signal Generation for Search-Based Testing of Continuous Systems.

Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results
Book Chapter
Al Moubayed, N., Petrovski, A., & McCall, J. Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. In Intelligent Data Engineering and Automated Learning – IDEAL 2013 (537-544). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-41278-3_65

Clustering-Based Leaders’ Selection in Multi-Objective Particle Swarm Optimisation
Book Chapter
Al Moubayed, N., Petrovski, A., & McCall, J. Clustering-Based Leaders’ Selection in Multi-Objective Particle Swarm Optimisation. In Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-23878-9_13

D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance
Book Chapter
Al Moubayed, N., Petrovski, A., & McCall, J. D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. In Evolutionary Computation in Combinatorial Optimization (75-86). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-29124-1_7

A Novel Smart Multi-Objective Particle Swarm Optimisation using Decomposition
Book Chapter
Al Moubayed, N., Petrovski, A., & McCall, J. A Novel Smart Multi-Objective Particle Swarm Optimisation using Decomposition. In Parallel Problem Solving from Nature, PPSN XI (1-10). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-15871-1_1