A review of Pareto pruning methods for multi-objective optimization
Previous researchers have made impressive strides in developing algorithms and solution
methodologies to address multi-objective optimization (MOO) problems in industrial …
methodologies to address multi-objective optimization (MOO) problems in industrial …
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 …
Many-objective software remodularization using NSGA-III
Software systems nowadays are complex and difficult to maintain due to continuous
changes and bad design choices. To handle the complexity of systems, software products …
changes and bad design choices. To handle the complexity of systems, software products …
A survey on knee-oriented multiobjective evolutionary optimization
Conventional multiobjective optimization algorithms (MOEAs) with or without preferences
are successful in solving multi-and many-objective optimization problems. However, a …
are successful in solving multi-and many-objective optimization problems. However, a …
Preference incorporation in evolutionary multiobjective optimization: A survey of the state-of-the-art
Abstract After using Evolutionary Algorithms (EAs) for solving multiobjective optimization
problems for more than two decades, the incorporation of the decision maker's (DM's) …
problems for more than two decades, the incorporation of the decision maker's (DM's) …
Multiobjective reliability redundancy allocation problem with interval type-2 fuzzy uncertainty
The multiobjective reliability redundancy allocation problem (MORRAP) aims to ensure high
system reliability in the presence of optimally redundant components. This is one of the most …
system reliability in the presence of optimally redundant components. This is one of the most …
High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III
There is a growing need for scalable search-based software engineering approaches that
address software engineering problems where a large number of objectives are to be …
address software engineering problems where a large number of objectives are to be …
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 …
Model transformation modularization as a many-objective optimization problem
Model transformation programs are iteratively refined, restructured, and evolved due to
many reasons such as fixing bugs and adapting existing transformation rules to new …
many reasons such as fixing bugs and adapting existing transformation rules to new …
[HTML][HTML] Preference-based evolutionary multi-objective optimization in ship weather routing
J Szlapczynska, R Szlapczynski - Applied Soft Computing, 2019 - Elsevier
In evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal
solutions. Such approach may be applied to multiple real-life problems, including weather …
solutions. Such approach may be applied to multiple real-life problems, including weather …