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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).
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
URL: https://doi.org/10.1016/j.ifacol.2015.06.109
DOI: 10.1016/j.ifacol.2015.06.109
Series Title: IFAC-PapersOnLine
