World's Best Scientists 2026 revealed!
Marco Locatelli

Marco Locatelli

D-Index & Metrics

Computer Science

D-Index
38
Citations
4657
World Ranking
10402
National Ranking
320

Mathematics

D-Index
38
Citations
4583
World Ranking
2395
National Ranking
73

Overview

Marco Locatelli is affiliated with the University of Parma in Italy and specializes in research spanning engineering, computer science, and medicine. Their work notably focuses on subfields such as industrial and manufacturing engineering, computer vision and pattern recognition, neurology, numerical analysis, and computational theory and mathematics.

The research topics frequently addressed include robotic path planning algorithms, advanced manufacturing and logistics optimization, advanced optimization algorithms research, scheduling and optimization algorithms, optimization and packing problems, optimization and search problems, and vehicle routing optimization methods.

The publication record includes papers in several renowned venues with multiple contributions. Frequent venues for publication include:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • EURO Journal on Computational Optimization
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Automatic Control

Selected recent papers authored or coauthored by Marco Locatelli are:

  • (Global) Optimization: Historical notes and recent developments, 2021, EURO Journal on Computational Optimization
  • A solution of the minimum-time speed planning problem based on lattice theory, 2020, Journal of the Franklin Institute
  • A Graph-Based Algorithm for Optimal Control of Switched Systems: An Application to Car Parking, 2021, IEEE Transactions on Automatic Control
  • A Sequential Algorithm for Jerk Limited Speed Planning, 2021, IEEE Transactions on Automation Science and Engineering
  • Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems, 2021, IRIS Research product catalog (Sapienza University of Rome)

Frequent coauthors collaborating with Marco Locatelli include:

  • Luca Consolini
  • Mattia Laurini
  • Stefano Ardizzoni
  • Manuel Iori
  • Giorgio Fiore

Best Publications

  • Packing equal circles in a square: a deterministic global optimization approach

    Marco Locatelli;Ulrich Raber

  • Simulated annealing algorithms for continuous global optimization: convergence conditions

    M. Locatelli

  • Global Optimization: Theory, Algorithms, and Applications

    Marco Locatelli;Fabio Schoen

  • Bayesian Algorithms for One-Dimensional GlobalOptimization

    M. Locatelli

  • Finding maximin latin hypercube designs by Iterated Local Search heuristics

    Andrea Grosso;A. R. M. J. U. Jamali;Marco Locatelli

  • A Note on the Griewank Test Function

    M. Locatelli

  • An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization

    M Vasile;E Minisci;M Locatelli

  • Branch and cut algorithms for detecting critical nodes in undirected graphs

    Marco Di Summa;Andrea Grosso;Marco Locatelli

  • Simple ingredients leading to very efficient heuristics for the maximum clique problem

    Andrea Grosso;Marco Locatelli;Wayne Pullan

  • 2009 IEEE Congress on evolutionary computation

    Massimiliano Vasile;Edmondo Minisci;M Locatelli

  • Complexity of the critical node problem over trees

    Marco Di Summa;Andrea Grosso;Marco Locatelli

  • A global optimization method for the design of space trajectories

    Bernardetta Addis;Andrea Cassioli;Marco Locatelli;Fabio Schoen

  • Solving the problem of packing equal and unequal circles in a circular container

    A. Grosso;A. R. Jamali;M. Locatelli;F. Schoen

  • Simulated Annealing Algorithms for Continuous Global Optimization

    Marco Locatelli

  • A Population-based Approach for Hard Global Optimization Problems based on Dissimilarity Measures

    Andrea Grosso;Marco Locatelli;Fabio Schoen

  • Analysis of Some Global Optimization Algorithms for Space Trajectory Design

    Massimiliano Vasile;Edmondo Minisci;Marco Locatelli

  • Global Optimization of Morse Clusters by Potential Energy Transformations

    Jonathan P. K. Doye;Robert H. Leary;Marco Locatelli;Fabio Schoen

  • Efficient Algorithms for Large Scale Global Optimization: Lennard-Jones Clusters

    Marco Locatelli;Fabio Schoen

  • A hybrid multiagent approach for global trajectory optimization

    Massimiliano Vasile;Marco Locatelli

  • New and old bounds for standard quadratic optimization: dominance, equivalence and incomparability

    Immanuel M. Bomze;Marco Locatelli;Fabio Tardella

  • Convergence of a Simulated Annealing Algorithm for Continuous Global Optimization

    M. Locatelli

Frequent Co-Authors

Immanuel M. Bomze
Immanuel M. Bomze University of Vienna
Alberto Caprara
Alberto Caprara University of Bologna
Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Michele Monaci
Michele Monaci University of Bologna
Jonathan P. K. Doye
Jonathan P. K. Doye University of Oxford
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Manuel Iori
Manuel Iori University of Modena and Reggio Emilia

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