Richard Martin Lusby

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Technical University of Denmark

Denmark

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Novel Decomposition Techniques for Multiobjective Optimisation

Open Date: 2017-01-01

Close Date: 2020-01-01

Articles (15)

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2025

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (6)

Jesper Larsen

Technical University of Denmark

DENMARK

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Twan Dollevoet

Erasmus University Rotterdam

NETHERLANDS

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Stefan Røpke

Technical University of Denmark

DENMARK

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Shyam Sundar Govinda Raja Perumal

Technical University of Denmark

DENMARK

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Martin Philip Kidd

Technical University of Denmark

DENMARK

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Sophie Parragh

Full Professor, Head of Institute

AUSTRIA

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Richard Martin Lusby

Research Interests

Contact this professor

Recent Grants

Articles (15)

Solving a multi-resolution model of the train platforming problem using Lagrangian Relaxation with dynamic multiplier aggregation

Exact and Heuristic Methods for the Split Delivery Vehicle Routing Problem

Solving unconstrained binary polynomial programs with limited reach: Application to low autocorrelation binary sequences

Benders decomposition for bi-objective linear programs

A branch-and-price algorithm for integrating urban rail crew scheduling and rostering problems

Integrating train service route design with passenger flow allocation for an urban rail transit line

An ADMM-based dual decomposition mechanism for integrating crew scheduling and rostering in an urban rail transit line

A column generation approach for the driver scheduling problem with staff cars

Electric bus planning & scheduling: A review of related problems and methodologies

Consistency Cuts for Dantzig-Wolfe Reformulations

A heuristic approach to integrate train timetabling, platforming, and railway network maintenance scheduling decisions

Solution approaches for integrated vehicle and crew scheduling with electric buses

Simultaneously exploiting two formulations: An exact benders decomposition approach

Equidistant representations: Connecting coverage and uniformity in discrete biobjective optimization

Data for a meta-analysis of the adaptive layer in adaptive large neighborhood search

Collaborators (6)

Jesper Larsen

Twan Dollevoet

Stefan Røpke

Shyam Sundar Govinda Raja Perumal

Martin Philip Kidd

Sophie Parragh

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