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Computer Science

D-Index
39
Citations
28941
World Ranking
9458
National Ranking
467

Overview

Marco Laumanns is affiliated with ZF Friedrichshafen in Germany. Their research largely spans engineering and business-related fields, reflecting multidisciplinary expertise.

The main fields of study covered in their work include:

  • Engineering
  • Business, Management and Accounting
  • Social Sciences

Within these broader fields, their subfields of study focus on:

  • Transportation
  • Industrial and Manufacturing Engineering
  • Automotive Engineering
  • Management Information Systems
  • Strategy and Management

The research topics engaged by Marco Laumanns include:

  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Urban Transport and Accessibility
  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Outsourcing and Supply Chain Management
  • Sharing Economy and Platforms

Recent publications highlight contributions across these areas. Selected papers include:

  • "Simulation-based design and analysis of on-demand mobility services," 2021, Transportation Research Part A Policy and Practice
  • "Bonus or Penalty? Designing Service-Level Agreements for a Decentralized Supply Chain: The Implication of Return on Investment," 2022, IEEE Transactions on Engineering Management
  • "Performance Comparison of Supply-Demand Matching Policies for On-Demand Mobility Services," 2021, Transportation Research Record Journal of the Transportation Research Board
  • "A computational study for the inventory routing problem," 2020, arXiv (Cornell University)

The venues where this research has appeared include:

  • Transportation Research Part A Policy and Practice
  • IEEE Transactions on Engineering Management
  • Transportation Research Record Journal of the Transportation Research Board
  • arXiv (Cornell University)

Frequent collaborators in their work comprise:

  • Iliya Markov
  • Rafael Guglielmetti
  • Anna Fernández-Antolín
  • Ravin de Souza
  • Stefan Woerner

Best Publications

  • SPEA2: Improving the strength pareto evolutionary algorithm

    Eckart Zitzler;Marco Laumanns;Lothar Thiele

  • Performance assessment of multiobjective optimizers: an analysis and review

    E. Zitzler;L. Thiele;M. Laumanns;C.M. Fonseca

  • Scalable Test Problems for Evolutionary Multiobjective Optimization

    Kalyanmoy Deb;Lothar Thiele;Marco Laumanns;Eckart Zitzler

  • Scalable multi-objective optimization test problems

    K. Deb;L. Thiele;M. Laumanns;E. Zitzler

  • Combining convergence and diversity in evolutionary multiobjective optimization

    Marco Laumanns;Lothar Thiele;Kalyanmoy Deb;Eckart Zitzler

  • SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization

    Eckart Zitzler;Marco Laumanns;Lothar Thiele

  • A Tutorial on Evolutionary Multiobjective Optimization

    Eckart Zitzler;Marco Laumanns;Stefan Bleuler

  • PISA: A platform and programming language independent interface for search algorithms

    Stefan Bleuler;Marco Laumanns;Lothar Thiele;Eckart Zitzler

  • An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method

    Marco Laumanns;Lothar Thiele;Eckart Zitzler

  • Scalable test problems for evolutionary multi-objective optimization

    Kalyanmoy Deb;Lothar Thiele;Marco Laumanns;Eckart Zitzler

  • A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study

    Marco Laumanns;Günter Rudolph;Hans-Paul Schwefel

  • A unified model for multi-objective evolutionary algorithms with elitism

    M. Laumanns;E. Zitzler;L. Thiele

  • Running time analysis of multiobjective evolutionary algorithms on pseudo-Boolean functions

    M. Laumanns;L. Thiele;E. Zitzler

  • A model predictive control approach for discrete-time rescheduling in complex central railway station areas

    Gabrio Caimi;Martin Fuchsberger;Marco Laumanns;Marco Lüthi

  • Bayesian Optimization Algorithms for Multi-objective Optimization

    Marco Laumanns;Jiri Ocenasek

  • On the Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization

    Marco Laumanns;Eckart Zitzler;Lothar Thiele

  • Why quality assessment of multiobjective optimizers is difficult

    Eckart Zitzler;Marco Laumanns;Lothar Thiele;Carlos M. Fonseca

  • A typology and literature review on stochastic multi-echelon inventory models

    Ton de Kok;Christopher Grob;Marco Laumanns;Stefan Minner

  • Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization

    Marco Laumanns;Lothar Thiele;Eckart Zitzler;Kalyanmoy Deb

  • Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem

    Marco Laumanns;Lothar Thiele;Eckart Zitzler;Emo Welzl

Frequent Co-Authors

Eckart Zitzler
Eckart Zitzler Lucerne University of Applied Sciences and Arts
Lothar Thiele
Lothar Thiele ETH Zurich
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Günter Rudolph
Günter Rudolph TU Dortmund University
Carlos M. Fonseca
Carlos M. Fonseca University of Coimbra
Frank Neumann
Frank Neumann University of Adelaide
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Bernd Bodenmiller
Bernd Bodenmiller University of Zurich

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