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The multi-objective network design problem using minimizing externalities as objectives

Comparison of a genetic algorithm and simulated annealing framework

Bibliographic Data

ID19337401
AuthorsBastiaan Possel (Goudappel Coffeng, corresponding author), Luc Johannes Josephus Wismans (0000-0002-5262-8735, Goudappel Coffeng), Eric C Van Berkum (0000-0001-7690-8646, University of Twente), M C J Bliemer (0000-0001-7602-5827, The University of Sydney)
Year2018
Volume45
Issue2
Pages545-572
Publication date2018-03-01
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-016-9738-y
OpenAlexW2534812588
LanguageEN
Citations received4
References cited30

Algorithm · Computation · Genetic algorithm · Heuristic · Heuristics · Mathematical optimization · Network planning and design · Simulated annealing · Sorting · Advanced Multi-Objective Optimization Algorithms · Computer Science · Mathematics · Sustainable Supply Chain Management · Transportation Planning and Optimization

  • Modeling the α-max capacity of transportation networks

    Open Access•Zhaoqi Zang, Xiangdong Xu et al.•Transportation•2022

  • Implications of link-based equity objectives on transportation network design problem

    Open Access•Xiang Zhang, S Travis Waller•Transportation•2019

  • Multi-objective bike-way network design problem with space–time accessibility constraint

    Open Access•Siying Zhu, Feng Zhu•Transportation•2020

  • Network design for line-based autonomous bus services

    Open Access•Jonas Hatzenbühler, Oded Cats et al.•Transportation•2022

  • A fast and elitist multiobjective genetic algorithm

    Open Access•Kalyanmoy Deb, Amrit Pratap et al.•IEEE Transactions on Evolutionary…•2002

Citations per year0.57
Citation span2019 - 2022 (4)
Highly citedNo

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