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Robust Formulation for Optimizing Sustainable Ship Routing and Scheduling Problem

Lookup NU author(s): Dr Arijit DeORCiD



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Increasing trade globally necessitates the requirement of developing effective heuristics to resolve the challenging ship routing and scheduling problem among multiple ports. The posing restrictions related to multiple time windows within a planning horizon, varying demand and supply at different ports increases the existing complexity. Here, sustainability issues associated with carbon emission is incorporated. Owing to the inherent complexity, the formulation developed moves towards a non-linear mixed integer programming model. The aforementioned problem assuming to be NP-Hard in nature and can be solved using an intelligent search heuristics named particle swarm optimization for composite particle (PSO-CP).

Publication metadata

Author(s): De A, Awasthi A, Tiwari M

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 15th IFAC Symposium on Information Control Problems in Manufacturing

Year of Conference: 2015

Pages: 368-373

Online publication date: 31/08/2015

Acceptance date: 01/01/1900

Date deposited: 02/11/2018

ISSN: 2405-8963

Publisher: Elsevier


DOI: 10.1016/j.ifacol.2015.06.109

Series Title: IFAC-PapersOnLine