How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance
With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
An analysis of quality indicators using approximated optimal distributions in a 3-D objective space
R Tanabe, H Ishibuchi - IEEE Transactions on Evolutionary …, 2020 - ieeexplore.ieee.org
Although quality indicators play a crucial role in benchmarking evolutionary multiobjective
optimization algorithms, their properties are still unclear. One promising approach for …
optimization algorithms, their properties are still unclear. One promising approach for …
Quality indicators in search-based software engineering: An empirical evaluation
Search-Based Software Engineering (SBSE) researchers who apply multi-objective search
algorithms (MOSAs) often assess the quality of solutions produced by MOSAs with one or …
algorithms (MOSAs) often assess the quality of solutions produced by MOSAs with one or …
Many-objective test suite generation for software product lines
A Software Product Line (SPL) is a set of products built from a number of features, the set of
valid products being defined by a feature model. Typically, it does not make sense to test all …
valid products being defined by a feature model. Typically, it does not make sense to test all …
Novel computing paradigms for parameter estimation in power signal models
The strength of evolutionary computational heuristic paradigms is exploited for parameter
estimation of power signal modeling problems by incorporating differential evolution (DE) …
estimation of power signal modeling problems by incorporating differential evolution (DE) …
Do quality indicators prefer particular multi-objective search algorithms in search-based software engineering?
Abstract In Search-Based Software Engineering (SBSE), users typically select a set of Multi-
Objective Search Algorithms (MOSAs) for their experiments without any justification, or they …
Objective Search Algorithms (MOSAs) for their experiments without any justification, or they …
A universal strengthened searching module for multi-objective optimization based on variable properties
A Pan, L Wang, W Guo - Applied Soft Computing, 2020 - Elsevier
Numerous algorithms have been introduced in solving multi-/many-objective optimization
problems. However, some rigorous elite definitions may result in the side-effect that new …
problems. However, some rigorous elite definitions may result in the side-effect that new …