Michael T. M. Emmerich

Riesz s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varvec{s}$$\end{document}-Energy Regularized Bi-Objective Maxi

Experiments on ERBOMCLP instances derived from a real-world MCLP dataset show that the main memetic variant improves selected-solution coverage and often gives competitive or lower Riesz s-energy, while the spread of the Pareto front approximation remains instance dependent.