Titlebook: Optimization and Decision Science: Operations Research, Inclusion and Equity; ODS, Florence, Italy Paola Cappanera,Matteo Lapucci,Filippo V

CLAM

Mathematical Programming and Machine Learning for a Task Allocation Gamened round by round, in predicting worker agents performance. We also experiment on suggesting users’ choice by optimization models, in which regressors are re-encoded as parts of a mathematical program, and merged in a generalized assignment formulation. We present a computational evaluation on a dataset collected from a real online gaming system.

MILL

Approaches to ESG—Integration in Portfolio Optimization Using MOEAsantly improves over exact methods and allows a better assessment of financial and ESG criteria tradeoffs. As an application example, we compute the mean-variance-ESG non-dominated surface for ESG motivated investors who want to assess the tradeoffs among the three criteria.

Fillet,Filet

打包

洞穴

死亡

Motilin

cleaver

A Multiclass Network International Migration Model Under Shared Regulationsies agree to establish a common upper bound on the migratory flows they are willing to accept jointly. In this framework, we propose a new equilibrium definition and prove its equivalence to a suitably defined variational inequality. Some numerical examples show that the flow distribution under join

excrete

Between

Voronoi Recursive Binary Trees for the Optimization of Nonlinear Functionalss. Unlike typical binary tree structures commonly employed for classification and regression problems, where splits are performed parallel to the coordinate axes, here the splits are based on Voronoi cells defined by a pair of centroids. Models of this kind are particularly suited to functional opti