Many-objective evolutionary algorithms: A survey
Multiobjective evolutionary algorithms (MOEAs) have been widely used in real-world
applications. However, most MOEAs based on Pareto-dominance handle many-objective …
applications. However, most MOEAs based on Pareto-dominance handle many-objective …
Genetic improvement of software: a comprehensive survey
Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …
software. We present a comprehensive survey of this nascent field of research with a focus …
A new decomposition-based NSGA-II for many-objective optimization
Multiobjective evolutionary algorithms (MOEAs) have proven their effectiveness and
efficiency in solving problems with two or three objectives. However, recent studies show …
efficiency in solving problems with two or three objectives. However, recent studies show …
A decomposition-based many-objective evolutionary algorithm with two types of adjustments for direction vectors
X Cai, Z Mei, Z Fan - IEEE Transactions on Cybernetics, 2017 - ieeexplore.ieee.org
Decomposition-based multiobjective evolutionary algorithm has shown its advantage in
addressing many-objective optimization problem (MaOP). To further improve its …
addressing many-objective optimization problem (MaOP). To further improve its …
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 …
Many-objective optimization using evolutionary algorithms: A survey
Abstract Multi-objective Evolutionary Algorithms (MOEAs) have proven their effectiveness
and efficiency in solving complex problems with two or three objectives. However, recent …
and efficiency in solving complex problems with two or three objectives. However, recent …
On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach
Search-based software engineering (SBSE) solutions are still not scalable enough to handle
high-dimensional objectives space. The majority of existing work treats software engineering …
high-dimensional objectives space. The majority of existing work treats software engineering …
Non-dominated sorting on performance indicators for evolutionary many-objective optimization
Much attention has been paid to evolutionary multi-objective optimization approaches to
efficiently solve real-world engineering problems with multiple conflicting objectives …
efficiently solve real-world engineering problems with multiple conflicting objectives …
Many-objective artificial bee colony algorithm for large-scale software module clustering problem
Amarjeet, JK Chhabra - Soft Computing, 2018 - Springer
The meta-heuristic search algorithms have been widely applied to solve the various science
and engineering optimization problems. However, the performance of these algorithms is …
and engineering optimization problems. However, the performance of these algorithms is …