In this work we present an overview of the most prominent population-based algorithms and
the methodologies used to extend them to multiple objective problems. Although not exact in …

Hypervolume is widely used as a performance indicator in the field of evolutionary
multiobjective optimization (EMO). It is used not only for performance evaluation of EMO …

Reinforcement learning (RL) is a machine learning approach that trains agents to maximize
cumulative rewards through interactions with environments. The integration of RL with deep …

The hypervolume indicator has frequently been used for comparing evolutionary multi-
objective optimization (EMO) algorithms. A reference point is needed for hypervolume …

The Hausdorff distance d H is a widely used tool to measure the distance between different
objects in several research fields. Possible reasons for this might be that it is a natural …

GOMORS is a parallel response surface-assisted evolutionary algorithm approach to multi-
objective optimization that is designed to obtain good non-dominated solutions to black box …

Regression testing is performed during maintenance activities to assess whether the
unchanged parts of a software behave as intended. To reduce its cost, test case prioritization …

Post weld heat treatment, or PWHT, is often used to improve the mechanical properties of
materials that have been welded. Several publications have investigated the effects of the …

Multiobjective optimization entails minimizing or maximizing multiple objective functions
subject to a set of constraints. Many real world applications can be formulated as multi …

A simple but reasonably accurate battery model is required for simulating the performance of
electrical systems that employ a battery for example an electric vehicle, as well as for …