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4th IEEE International Conference on Advanced Logistics and Transport (IEEE ICALT)

作者： Saracoglu, Ozturk Arslan, Mehmet Can Turkay, Metin Koc Univ Dept Ind Engn Istanbul Turkey

ISBN: (纸本)9781479984008

Aggregate planning refers to the determination of production, inventory and capacity levels for a medium term. Traditionally standard mathematical programming formulation is used to devise the aggregate plan so as to minimize the total cost of operations. However, this formulation is purely an economic model that does not include sustain ability considerations. In this study, we revise the standard aggregate planning formulation to account for additional environmental and social criteria from sustainability perspective. We analyze the revised models and propose results that would be insightful for decision makers. We show how these additional criteria can be appended to traditional cost accounting in order to address sustain ability in aggregate planning.

关键词： Supply Chain Sustain ability Aggregate Planning mixed-integer programming Multi-Objective Optimization

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Solving Infrastructure Monitoring Problems with Multiple Heterogeneous Unmanned Aerial Vehicles 14

Solving Infrastructure Monitoring Problems with Multiple Het...

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14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

作者： Ondracek, Jakub Vanek, Ondrej Pechoucek, Michal Czech Tech Univ Fac Elect Engn Agent Technol Ctr Tech 2 Prague 6 Czech Republic

ISBN: (纸本)9781450334136

A number of critical infrastructures, such as gas or oil pipelines operate in a sensitive environment and any damage done to the infrastructure significantly harms the surrounding fauna and flora and poisons water supplies. The infrastructure thus needs to be monitored and any damage or failure has to be detected and reported as quickly as possible. We focus on the enhancement of the monitoring systems| we propose a first holistic solution for a set of heterogeneous unmanned aerial vehicles (UAVs) which monitor the infrastructure under current technological restrictions such as speed, battery endurance and sensing radius. We solve the problem of (1) the allocation of charging/maintenance stations in the area, (2) the assignment of the UAVs to the stations and (3) the computation of their trajectories with respect to the environment sensitivity. We propose a formal graph-based model capturing problem constraints and requirements. We explore possible decompositions of the problem and we propose a number of algorithms allowing to choose between algorithm runtime and solution quality. The results show that our approach can be used to monitor real-world sized infrastructures of a length of tens of kilometers using up to five UAVs.

关键词： Unmanned Aerial Vehicles Critical Infrastructure Protection mixed-integer programming Trajectory Planning

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A Simulated Annealing Heuristic for a Branch and Price-Based Routing and Spectrum Allocation Algorithm in Elastic Optical Networks 16th

A Simulated Annealing Heuristic for a Branch and Price-Based...

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16th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL)

作者： Klinkowski, Miroslaw Walkowiak, Krzysztof Inst Natl Telecommun Dept Transmiss & Opt Technol Warsaw Poland Wroclaw Univ Technol Dept Syst & Comp Networks PL-50370 Wroclaw Poland

ISBN: (纸本)9783319248349;9783319248332

In the paper we focus on developing an efficient algorithm capable of producing optimal solutions to the problem of routing and spectrum allocation (RSA) - a basic optimization problem in elastic optical networks. We formulate the problem as a mixed-integer program and we solve it using a branch and price (BP) algorithm. With the aim to improve the performance of BP, we enhance it with a simulated annealing-based RSA heuristic that is employed in the search for upper bound solutions. The results of numerial experiments show that the heuristic allows to decrease significantly the time required to solve the problem.

关键词： Simulated annealing Elastic optical networks Routing and spectrum allocation mixed-integer programming Branch and price

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Improvement of methods for long-term transmission systems expansion in current conditions

Improvement of methods for long-term transmission systems ex...

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PowerTech, 2015 IEEE Eindhoven

作者： Drachev, P. S. Trufanov, V. V. SB RAS Energy Syst Inst Lab Elect Power Syst Dev Irkutsk Russia

ISBN: (纸本)9781479976959

Currently, Russian power sector has switched to the market model for controlling electric power industry functioning and development. Due to a need to consider numerous specific features characteristic of the market-based industry, modern criteria for designing electric networks should obviously differ from the criteria of "planned economy" approach. The paper considers new method for long-term transmission expansion problem (TEP) based on solving number of optimization subproblems with a system of mathematical models. The models allow taking into account set of technical and economical factors. The proposed method is practically applied to the problem of Russian Unified National Energy Grid (UNEG) expansion.

关键词： free power transfer zones market modeling mixed-integer programming network expansion social welfare UNEG

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Dynamic Formulation of the Unit Commitment and Economic Dispatch problems

Dynamic Formulation of the Unit Commitment and Economic Disp...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Tuffaha, Mutaz Gravdahl, Jan Tommy Norwegian Univ Sci & Technol Dept Engn Cybernet N-7034 Trondheim Norway

ISBN: (纸本)9781479978007

Economic Dispatch (ED) is the problem of scheduling the output power levels of the committed generating units in a power system, over some time horizon to meet the demand (assuming known) at minimum cost. Optimal Control Dynamic Dispatch (OCDD) uses a dynamic model of the power generation based on ramping constraints. In OCDD, the number of committed units in the system is determined in advance by solving the so-called unit commitment (UC) problem. The progress in the mixed-integer programming algorithms has inspired researchers to combine the ED, and UC in one problem, and then solve it as a static problem. In spite of the speed and accuracy, the static optimization solution can not adapt to fast changes in the power systems. In addition, it suffers from the drawback of violating the ramping rates constraints at the beginning of the planning horizon. In this work, we propose a mixed-integer dynamical model for the power generation to solve both ED, and UC by optimal control strategy. We show that the proposed method gives more accurate results than common approaches in literature. The proposed approach is well suited for small or isolated power systems.

关键词： Unit commitment Economic Dispatch Optimal Control mixed-integer programming

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A defender-attacker-defender approach to the optimal fortification of a rail intermodal terminal network

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JOURNAL OF TRANSPORTATION SECURITY 2015年第1-2期8卷 17-32页

作者： Sarhadi, Hassan Tulett, David M. Verma, Manish Mem Univ Fac Business Adm St John NF Canada McMaster Univ DeGroote Sch Business Hamilton ON Canada

A crucial issue in modern supply chains is to guarantee continuity and efficiency in the event of natural and man-made threats. This task is challenging, especially given the finite resources and the complexity of the transportation infrastructure. We make use of a defender-attacker-defender framework to determine the optimal strategy for fortifying a given number of rail-truck intermodal terminals, such that the losses (or inefficiencies) resulting from an intentional attack is minimized. The proposed tri-level optimization model, used to study a realistic size case study from published literature, is solved using three distinct solution techniques. Finally, we present some managerial insights and directions of future research.

关键词： Intermodal transportation Intentional attacks Fortification mixed-integer programming Leader-follower Heuristic

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Flat trajectory generation for way-points relaxations and obstacle avoidance 23

Flat trajectory generation for way-points relaxations and ob...

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23rd Mediterranean Conference on Control and Automation (MED)

作者： Stoican, Florin Prodan, Ionela Popescu, Dan Univ Politehn Bucuresti Dept Automat Control & Syst Engn Bucharest Romania Univ Grenoble Alpes LCIS EA 3747 F-26902 Valence France UPB Dept Automat Control & Ind Informat Bucharest Romania

ISBN: (纸本)9781479999361

This paper addresses some alternatives to classical trajectory generation for an autonomous vehicle which needs to pass through a priori given way-points. Using differential flatness for trajectory generation and B-splines for the flat output parametrization, the current study concentrates on constraint relaxations and on obstacle avoidance conditions. The results are validated through simulations over standard UAV dynamics.

关键词： flat trajectory B-spline basis mixed-integer programming obstacle avoidance

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A New Bi-objective Location-routing Problem for Distribution of Perishable Products: Evolutionary Computation Approach

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Journal of Mathematical Modelling and Algorithms in Operations Research 2015年第3期14卷 287-312页

作者： Khalili-Damghani, Kaveh Abtahi, Amir-Reza Ghasemi, Amir Department of Industrial Engineering South-Tehran Branch Islamic Azad University Tehran Iran Department of Knowledge Engineering and Decision Sciences Faculty of Management Economics University of Economic Sciences Tehran Iran

Supply, manufacture, and distribution of perishable products are challenging jobs in supply chains. Location of warehouses and routing of vehicles are essential issues to distribute perishable products properly. In this paper, a new bi-objective mixed integer mathematical programming is proposed to reduce the total cost of the supply chain and to balance the workload of distribution centers while the due dates of delivery of perishable product are met, concurrently. The considered properties and constraints of proposed model made it well-posed to illustrate the real life situation. As the proposed model is NP-Hard, an evolutionary algorithm called Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is customized to solve the problem. The structure of chromosome and genetic operators are customized for the problem. The performance of proposed NSGA-II and an efficient exact Multi-objective method, called ε-constraint, is compared using accuracy and diversity metrics on several benchmark instances. © 2015, Springer Science+Business Media Dordrecht.

关键词： Bi-objective optimization Distribution of perishable products Location-routing problem mixed-integer programming Multi-objective genetic algorithm ε-constraint Method

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Minimizing bushfire risk through optimal powerline assets replacement and improvement 21

Minimizing bushfire risk through optimal powerline assets re...

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21st International Congress on Modelling and Simulation (MODSIM) held jointly with the 23rd National Conference of the Australian-Society-for-Operations-Research / DSTO led Defence Operations Research Symposium (DORS

作者： Roozbahani, R. Huston, C. Dunstall, S. Abbasi, Babak Ernst, A. Schreider, S. Digital Prod Flagship CSIRO Clayton Vic 3169 Australia RMIT Sch Business IT & Logist Melbourne Vic Australia RMIT Sch Math & Geospatial Sci Melbourne Vic Australia

ISBN: (纸本)9780987214355

Fires initiated by powerline faults disproportionately are associated with a majority of bushfire fatalities in South-Eastern Australia. Over 150 deaths have occurred since 1977 in South-Eastern Australia. A response from governments and utilities has been to embark on electricity asset improvement and replacement programs where the definition of improvement is tied to an aim of reducing powerline sparked ignitions under the most dangerous meteorological conditions for fire. This paper introduces an optimization model which provides a strategy for adding technologies to powerline distribution assets such that there are improvements in terms fire risk being lowered. The goal of the model is to minimize financial outlay while the risk of electricity sparked bushfire incidence is a solid constraint in the model, set to mimic potential bushfire risk reduction target scenarios. Currently, strategies for targeting investment in improvement of the electrical distribution system have not used such a mathematically based optimization approach. Instead they are based on expert interpretation of risk maps which visualize risk of fault of asset technologies with the consequence of fire starts at the same locations. Application of an optimization model by government and utilities when investing in powerline improvements could lead to reduced bushfire impacts within given funding frameworks relative to current practice. Estimated fault and fire ignition behavior of current and proposed electrical asset technology are a basis for our model. Fire mitigating treatments can range from the installation of new electrical fault detection systems at zone sub-stations;burying individual sections of powerline;installation of automatic circuit reclosers (ACRs);adjusting the settings on existing ACRs;insulating bare lines;etc. The work here represents a natural extension of bushfire risk-modelling work being undertaken by the authors in collaboration with the Victorian Government's Powerline

关键词： Bushfire risk mixed-integer programming powerline safety combinatorial optimization

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Alternative Fuel Infrastructure and Customer Location Impacts on Fleet Mix and Vehicle Routing

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TRANSPORTATION JOURNAL 2015年第4期54卷 409-437页

作者： In, Joonhwan Bell, John E. Univ Tennessee Knoxville TN 37996 USA

An increase in the use of conventional vehicles in combination with alternative fuel vehicles requires trucking carriers to make a decision on when to use a mixed fleet. The purpose of this article is to investigate how alternative fuel infrastructure and patterns of customer locations influence fleet compositions when minimizing routing costs. The variable-route vehicle refueling problem (VRVRP) for the mixed fleet is formulated as a mixed-integer programming model and solved with an optimization method. A logistic regression is then employed to assess the impacts of both the density of the alternative fuel infrastructure and the patterns of customer locations on the optimal fleet composition. Experimental results reveal that the right fleet mix decision is impacted by customer location patterns and available fuel infrastructure. While alternative fuel trucks were favored over conventional trucks with a dense alternative fuel infrastructure, the likelihood of mixed fleet use varied across different patterns, of customer demand locations. Further, our analysis suggests that shippers and trucking carriers should understand the relative benefits and constraints of different geographical dispersions of customers and densities of alternative fuel infrastructures when designing optimal delivery strategies.

关键词： Alternative fuel vehicle refueling vehicle routing mixed-integer programming optimization

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