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 …
Automated analysis of feature models: Quo vadis?
Feature models have been used since the 90s to describe software product lines as a way of
reusing common parts in a family of software systems. In 2010, a systematic literature review …
reusing common parts in a family of software systems. In 2010, a systematic literature review …
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 …
Learning task relationships in evolutionary multitasking for multiobjective continuous optimization
Multiobjective multifactorial optimization (MO-MFO), rooted in a multitasking environment, is
an emerging paradigm wherein multiple distinct multiobjective optimization problems are …
an emerging paradigm wherein multiple distinct multiobjective optimization problems are …
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 …
Configuring software product lines by combining many-objective optimization and SAT solvers
A feature model (FM) is a compact representation of the information of all possible products
from software product lines. The optimal feature selection involves the simultaneous …
from software product lines. The optimal feature selection involves the simultaneous …
Search-based test case prioritization for simulation-based testing of cyber-physical system product lines
Abstract Cyber-Physical Systems (CPSs) integrate computation with physical processes.
These systems are usually highly configurable to address different customer needs and are …
These systems are usually highly configurable to address different customer needs and are …
A systematic review of interaction in search-based software engineering
Search-Based Software Engineering (SBSE) has been successfully applied to automate a
wide range of software development activities. Nevertheless, in those software engineering …
wide range of software development activities. Nevertheless, in those software engineering …
Multi-objectivizing software configuration tuning
Automatically tuning software configuration for optimizing a single performance attribute (eg,
minimizing latency) is not trivial, due to the nature of the configuration systems (eg, complex …
minimizing latency) is not trivial, due to the nature of the configuration systems (eg, complex …