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20222026
most citedImproved Front Steepest Descent for Multi-objective Optimization

14 citations · 32 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024

Optimization-Driven Design of Monolithic Soft-Rigid Grippers

Pierluigi Mansueto, Mihai Dragusanu, Anjum Saeed +3

Sim-to-real transfer remains a significant challenge in soft robotics due to the unpredictability introduced by common manufacturing processes such as 3D printing and molding. Thes…

math.OC2024

Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization

Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi +1

In this paper we consider bound-constrained mixed-integer optimization problems where the objective function is differentiable w.r.t.\ the continuous variables for every configurat…

math.OC2024★ 1 cited

Effective Front-Descent Algorithms with Convergence Guarantees

Matteo Lapucci, Pierluigi Mansueto, Davide Pucci

In this manuscript, we address continuous unconstrained multi-objective optimization problems and we discuss descent type methods for the reconstruction of the Pareto set. Specific…

math.OC2024

Memetic Differential Evolution Methods for Semi-Supervised Clustering

Pierluigi Mansueto, Fabio Schoen

In this paper, we propose an extension for semi-supervised Minimum Sum-of-Squares Clustering (MSSC) problems of MDEClust, a memetic framework based on the Differential Evolution pa…

math.OC2024★ 2 cited

A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization

Francesco Carciaghi, Simone Magistri, Pierluigi Mansueto +1

In this paper, we deal with batch Bayesian Optimization (Bayes-Opt) problems over a box and we propose a novel bi-objective optimization (BOO) acquisition strategy to sample points…