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Evaluation Heuristics for Tug Fleet Optimisation Algorithms - A Computational Simulation Study of a Receding Horizon Genetic Algorithm

Robin T. Bye, Hans Georg Schaathun
2015 Proceedings of the International Conference on Operations Research and Enterprise Systems   unpublished
In order to compare the merit of TFO algorithms that solve the TFO problem as defined here, we propose two evaluation heuristics and test them by means of a computational simulation study.  ...  We have previously presented a receding horizon genetic algorithm (RHGA) for solving this tug fleet optimisation (TFO) problem.  ...  ACKNOWLEDGEMENTS The DRAMA research group is grateful for the support provided by Regionalt Forskningsfond Midt-Norge and the Research Council of Norway through the project Dynamic Resource Allocation  ... 
doi:10.5220/0005217802700282 fatcat:5xb6ltrrn5glxkumup357iecby

An Improved Receding Horizon Genetic Algorithm For The Tug Fleet Optimisation Problem

Robin T. Bye, Hans G. Schaathun
2014 ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  
We have previously presented a receding horizon genetic algorithm (RHGA) for solving this tug fleet optimisation (TFO) problem.  ...  Finally, we discuss the potential for an objective evaluation method for comparing various TFO algorithms and briefly present our TFO simulator.  ...  ACKNOWLEDGEMENTS The DRAMA research group is grateful for the support provided by Regionalt Forskningsfond Midt-Norge and the Research Council of Norway through the project Dynamic Resource Allocation  ... 
doi:10.7148/2014-0682 dblp:conf/ecms/ByeS14 fatcat:2tahvdcv6vezfcqwim6sg5ymrq

A Receding Horizon Genetic Algorithm for Dynamic Resource Allocation: A Case Study on Optimal Positioning of Tugs [chapter]

Robin T. Bye
2012 Studies in Computational Intelligence  
A simulated case study on optimal positioning of a fleet of tugs along the northern Norwegian coast serves as a means of evaluating the algorithm.  ...  This paper presents a receding horizon genetic algorithm (RHGA) for dynamic resource allocation.  ...  Simulation Study The technical computing software package Matlab. 1 was used for the implementation of a simulation study of the tug positioning problem.  ... 
doi:10.1007/978-3-642-27534-0_9 fatcat:vq2n4sjqtreepia3si73uii3yy

Investigation of Diesel Hybrid systems for fuel oil reduction in slow speed ocean going ships

Eleftherios K. Dedes, Dominic A. Hudson, Stephen R. Turnock
2016 Energy  
The optimisation scenarios were run using a modified for marine power systems version of the Equivalent Cost Minimization Strategy.  ...  The mathematical implementation and simulation of the power train components is demonstrated using a systematic approach.  ...  studies for Hybrid tug vessels [18] .  ... 
doi:10.1016/j.energy.2016.07.121 fatcat:7w5ekhviofczdihpnlddu5zbrq

Optimum Composition of Charter Contracts for the Renewal of the Fleet of Offshore Support Vessels Considering Uncertainties: A Literature Review

Marcelo de Souza, Guilherme Vaccaro, Luiz Rocha, Giulio Lorenzini
2019 International Journal of Heat and Technology  
This problem is relevant to the ongoing fleet renewal process, in terms of associated costs and fleet flexibility, in the context of oil and gas exploration and production.  ...  The analysis of the literature and the characteristics of the problem indicate the construction of a solution multi-approach method as a viable way to treat the complexity of the problem.  ...  Multicriteria decision techniques, Fuzzy ANP and Choquet integral methods are used for the evaluation and the results of both algorithms are compared using Fuzzy AHP.  ... 
doi:10.18280/ijht.370201 fatcat:v7mviy3g4fhe5k4jfnrb2psxhq

Berth Scheduling at Seaports: Meta-Heuristics and Simulation

R Wang
2018
Furthermore, lacking tools for examining existing algorithms for different optimisation problems and simulating real-world scenarios is identified as another gap in this study.  ...  With this framework, contributions include assessing the performance of different algorithms for optimisation problems and benchmarking optimisation problems. ii  ...  Simulation with optimisation for ports: Various simulation models with integrated optimisation were studied in Chapter 2. A lack of flexible simulation framework is identified in Chapter 2.  ... 
doi:10.24377/researchonline.ljmu.ac.uk.00009652 fatcat:2qmlei2mb5hibddyzmplrr4t3y

Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020) [article]

Andreas Christ, Franz Quint
2020 arXiv   pre-print
The TriRhenaTech alliance presents a collection of accepted papers of the cancelled tri-national 'Upper-Rhine Artificial Inteeligence Symposium' planned for 13th May 2020 in Karlsruhe.  ...  The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe  ...  The author is responsible for the content of this publication. Acknowledgments Underlying projects to this article are funded by the WTD 81 of the German Federal Ministry of Defense.  ... 
arXiv:2010.16241v1 fatcat:y6lc2dmlyvh55bw2ytfbf7hwta

Ship scheduling with time-varying draft restrictions: a case study in optimisation with time-varying costs [article]

Elena Kelareva, University, The Australian National, University, The Australian National
2014
from a problem involving optimising speeds for a single ship travelling along a fixed route, and extending this approach to a cargo routing and scheduling problem with time-varying draft restrictions  ...  A number of approaches to solving this problem are investigated, and a commercial system - DUKC Optimiser - based on this research is discussed.  ...  Experimental Results The local search heuristic was implemented in Python and solved using the RSA algorithm for the speed optimisation for individual ships.  ... 
doi:10.25911/5d739059090a9 fatcat:figyo56a5ndshhndb2tcmavprq

46 th Annual Conference Italian Operations Research Society

Abstracts Book, Elisabetta Scala
unpublished
Most DF global optimization algorithms have been developed for unconstrained optimization problems. However, we faced a number of real applications characterized by the presence of constraints.  ...  economic quantities or by the output of some surrogate model or by the output of some simulation program.  ...  In this work we present the first fully distributable algorithm for SVMs training that globally converges to a solution of the original (non-separable) SVMs dual formulation.  ... 
fatcat:es2qzhkwnzbiloj5yrmvumgm6e

A quantitative framework for the assessment of transport vulnerability in container liner service networks

Pablo Ernesto Achurra Gonzalez, Panagiotis Angeloudis, Daniel J. Graham, Tecnología E Innovación Panama. Secretaría Nacional De Ciencia, National Institute For The Development And Use Of Human Resources Of The Republic Of Panama
2019
The proposed framework consists of a game-theoretic attacker-defender model (ADM) and a cost-based container assignment model (CBCAM) adapted for the analysis of networks under disruptions.  ...  This study addresses the above-mentioned challenges by developing a quantitative framework capable of identifying critical components in large-scale networks with limited or unavailable historical disruption  ...  samples to evaluate feasible alternatives for this study.  ... 
doi:10.25560/68462 fatcat:cp5dxjpzt5d2tbwgvm5osee53y

Port choice: A frequency-based container assignment model

Xin Liu, Michael Bell
2013
The classic frequency-based transit assignment approach of Spiess and Florian is transferred and applied to maritime containers as the foundation for a global maritime container assignment model.  ...  The process of containerization has connected the world with a cost-effective freight service, successfully forming a competitive global market.  ...  A solution algorithm, based on Lagrangian relaxation, a subgradient method, and a heuristic for the upper-bound solution, id developed to solve the model.  ... 
doi:10.25560/10574 fatcat:rikjhrtoyvfftiru7cxylk2kqy

Self-Structuring Artificial Intelligence for Digital Equilibrium in Hyper-Connected Environments

Dinithi Jayaratne
2021
A thesis submission in total fulfilment of the requirements for the degree of Doctor of Philosophy to the Research Centre for Data Analytics and Cognition, La Trobe Business School, College of Arts, Social  ...  Daswin De Silva for the continuous guidance and patience. You have given much time, effort and knowledge to aid  ...  Chapter 5 presents the empirical evaluation of the proposed Self-Structuring AI algorithm for change detection proposed in chapter 4.  ... 
doi:10.26181/60d2a27abb8de fatcat:44gidzy65vf4zinjuekqkjnpwu

A study of Intelligent Transport Systems (ITS) in Dublin Port in conjunction with the Intelligent Transport for Dynamic Environment (InTraDE) Project

Kay McGinley
2017
A new generation of cargo handling technology has been designed in the form of an Intelligent Autonomous Vehicle (IAV).  ...  Roisin Murray for her support in the earlier days of this research, as well as my academic supervisor Mr.  ...  Simulation is also the perfect tool for evaluating system parameter values as it reduces the cost and time of a project by allowing the user to quickly evaluate the performance of different layouts, a  ... 
doi:10.21427/d78f39 fatcat:a4eomkjlg5dunnu7sirqv25qdy

A resilience-based causal framework for conducting safety analysis

Lauchlan J Clarke
2020
Almost every field of study has established causal frameworks designed to utilise salient information to satisfy a specific purpose.  ...  The approach incorporates a broad range of information and focusses on the decisions and tasks required for a system to achieve its purpose.  ...  On the Need for Tugs  You will definitely need tugs for this type of operation, even in good conditions.  ... 
doi:10.25959/100.00034820 fatcat:vvtpvnun65bi5bpuq2rcu4eepy

Remote Intelligent Air Traffic Control Systems for Non-Controlled Airports

Glenn Brown, University, My, Robert Iskander
2018
The evaluation showed that use of a rule based system as the basis of an intelligent remote air traffic control system for non-controlled airports is a viable proposition.  ...  A rule based system was developed and evaluated.  ...  heuristic algorithm is one that efficiently provides good approximate solutions to a given problem (ie a "best fit" solution).  ... 
doi:10.25904/1912/2293 fatcat:flht547lcjgndfcsnsbi4732yi
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