6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
Quality evaluation of solution sets in multiobjective optimisation: A survey
M Li, X Yao - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Complexity and variety of modern multiobjective optimisation problems result in the
emergence of numerous search techniques, from traditional mathematical programming to …
emergence of numerous search techniques, from traditional mathematical programming to …
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 …
A survey of many-objective optimisation in search-based software engineering
Search-based software engineering (SBSE) is changing the way traditional software
engineering (SE) activities are carried out by reformulating them as optimisation problems …
engineering (SE) activities are carried out by reformulating them as optimisation problems …
The weights can be harmful: Pareto search versus weighted search in multi-objective search-based software engineering
In presence of multiple objectives to be optimized in Search-Based Software Engineering
(SBSE), Pareto search has been commonly adopted. It searches for a good approximation of …
(SBSE), Pareto search has been commonly adopted. It searches for a good approximation of …
FEMOSAA: Feature-guided and knee-driven multi-objective optimization for self-adaptive software
Self-Adaptive Software (SAS) can reconfigure itself to adapt to the changing environment at
runtime, aiming to continually optimize conflicted nonfunctional objectives (eg, response …
runtime, aiming to continually optimize conflicted nonfunctional objectives (eg, response …
Do performance aspirations matter for guiding software configuration tuning? an empirical investigation under dual performance objectives
Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
Enhanced constraint handling for reliability-constrained multiobjective testing resource allocation
The multiobjective testing resource allocation problem (MOTRAP) is how to efficiently
allocate the finite testing time to various modules, with the aim of optimizing system …
allocate the finite testing time to various modules, with the aim of optimizing system …
Improving microservices extraction using evolutionary search
Context: Microservices constitute a modern style of building software applications as
collections of small, cohesive, and loosely coupled services, ie, modules, that are …
collections of small, cohesive, and loosely coupled services, ie, modules, that are …
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 …