- Scheduling and Optimization Algorithms
- Maritime Ports and Logistics
- Vehicle Routing Optimization Methods
- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Railway Systems and Energy Efficiency
- Optimization and Search Problems
- Urban and Freight Transport Logistics
- Transportation Planning and Optimization
- Reliability and Maintenance Optimization
- Wind Energy Research and Development
- Transportation Systems and Safety
- Transportation and Mobility Innovations
- Constraint Satisfaction and Optimization
- Aviation Industry Analysis and Trends
- Intelligent Tutoring Systems and Adaptive Learning
- Electric Power System Optimization
- Scheduling and Timetabling Solutions
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Advanced Aircraft Design and Technologies
- Advanced Optimization Algorithms Research
- Transport and Logistics Innovations
- Water resources management and optimization
- Urban Transport Systems Analysis
University of Newcastle Australia
2011-2021
Monash University
2012
Newcastle University
2011
University of Auckland
2000-2009
UCLouvain
2002
This paper applies recently developed mixed-integer programming (MIP) tools to the problem of optimal siting and sizing distributed generators in a distribution network. We investigate merits three MIP approaches for finding good installation plans: full AC power flow approach, linear DC approximation, nonlinear approximation with quadratic loss terms, each augmented integer generator placement variables. A genetic algorithm-based approach serves as baseline comparison. simple knapsack...
This work develops a wind intensity interference coefficient which captures the caused by an upwind turbine on downwind in same flow. includes use of Weibull distribution to handle variability velocity, and also accounts for geometric relationship between turbines boundaries sector. then forms part mixed integer linear program (MILP) is used optimise locations within farm site. The MILP approach exact method that can guarantee determined model are optimal with respect priori chosen set...
A new mixed-integer linear programming (MILP) formulation for nonpreemptive single machine scheduling problems is presented. The model a generalisation of the classical time indexed (TI) to one in which at most two jobs can be processing each period. Like TI model, called bucket (BI) partitions planning horizon into periods equal length, or buckets. Unlike length period parameter BI and chosen as long shortest job. models are equivalent if unit but when longer used it have significantly...
This paper presents PACE, an optimisation-based Possession Assessment and Capacity Evaluation decision support tool that efficiently effectively evaluates schedules of planned maintenance renewal work for rail infrastructure, allowing users to quickly comprehensively assess the against competing objectives asset reliability, resource requirements, contract compliance. The development PACE was commissioned by Aurizon; owner, manager, maintainer, Central Queensland Coal Network, largest export...
We study cyclic binary strings with bounds on the lengths of intervals consecutive ones and zeros. This is motivated by scheduling problems where such can be used to represent state (on/off) a machine. In this context correspond minimum maximum on- or off-intervals, model periodic schedules. Extending results for non-cyclic not straight forward. present non-trivial tight compact extended network flow formulation, as well valid inequalities in space start-up variables some which are shown...
In a suburban passenger railway network, delay of single train is likely to affect not only the passengers aboard or waiting for that train, but those on subsequent trains as well.These knock-on effects are caused by delayed blocking sections track and lead congestion slower boarding rate overcrowded trains.When has occurred, other nearby can be re-scheduled minimise detrimental effect delay.This paper shows how re-schedule minimize negative impact passengers.A simple double network with...
In this research, we describe an optimization problem motivated by the need to maintain infrastructure net-works over time.We consider networks in which product is transported between distinct origin-destination pairs, and at same time assets be maintained resources moving network.In order perform maintenance have shut down from thus reduc-ing system capacity for those periods.The objective maximize total aligning activities appropriately.This combines flow maximization with scheduling...
Australia has a large operational heavy railway network which is approximately 33,355 routekilometres.This accounted for 55 percent of all freight transport activity in the financial year 2013-14, almost 367 billion tonne-kilometres was up 50 from 2011-12 (BITRE ( 2016)).
The network maintenance problem is motivated by the need to maintain infrastructure networks over time.We consider in which a commodity transported between origin-destination pairs, and at same time assets be maintained resources moving network.In order perform have shut down thus reducing system capacity.The objective maximise total throughput aligning activities efficiently.In this paper, we study special case of where consists single arc connecting an origin destination.Furthermore, there...