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 …

Conventional multiobjective optimization algorithms (MOEAs) with or without preferences
are successful in solving multi-and many-objective optimization problems. However, a …

The tourist trip design problem (TTDP) helps the trip planners, such as tourists, tour
companies, and government agencies, automate their trip planning. TTDP solver chooses …

Simple Summary Biomedical ontology matching is a large-scale multi-modal multi-objective
optimization problem with sparse Pareto optimal solutions. To effectively address this …

This paper presents a solution ranking algorithm to find the outstanding solutions in given
set of non-dominated solutions of multi-objective optimization problems, which are the …

This paper proposes a novel approach which uses a multi-objective evolutionary algorithm
based on decomposition to address the ontology alignment optimization problem …

This note proposes an algorithm to generate the Pareto front of a mixed discrete multi-
objective optimization problem based on the pruning of irrelevant subproblems. The knee …

Given a point in m-dimensional objective space, any ε-ball of a point can be partitioned into
the incomparable, the dominated and dominating region. The ratio between the size of the …

The tourist trip design problem (TTDP) helps the trip planners, such as tourists, tour
companies, and government agencies, automate their trip planning. TTDP solver chooses …

Given a point in m-dimensional objective space, the local environment of a point can be
partitioned into the incomparable, the dominated and the dominating region. The ratio …