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Compounding problem in an interactive multiple objective optimization method

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2016年第3期248卷 1132-1135页

作者： Park, K. Sam Lee, Pyoungsoo Korea Univ Sch Business Seoul 136701 South Korea

This note finds and resolves a compounding problem in the interactive multi-objective optimization method developed by Park and Shin (2012). The compounding problem means that the algorithm generates a solution unexpected by the decision maker. A concrete example of the compounding problem is demonstrated and, to remove the problem, an improved algorithm is then developed. We also show that the improved algorithm converges to the known optimal solutions faster than the earlier algorithm. (C) 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.

关键词： multi-objective programming Interactive method Compounding problem

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A general reverse logistics network design model for product reuse and recycling with environmental considerations

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2016年第9-12期87卷 2693-2711页

作者： Yu, Hao Solvang, Wei Deng UiT Arctic Univ Norway Fac Engn Sci & Technol Dept Ind Engn Narvik Nordland Norway

Reverse logistics is believed to be one of the most promising solutions for capturing the remaining values from used products and has been extensively focused by both academics and practitioners during the past two decades. Conceptual framework, mathematical programming, and computational algorithms have been developed for decision-making at strategic, tactical, and operational levels of a reverse supply chain. In this paper, a novel idea for the design and planning of a general reverse logistics network is suggested and formulated through multi-objective mixed integer programming. The reverse logistics system is an independent network and comprises of three echelons for collection, remanufacturing, recycling, energy recovery, and disposal of used products. The mathematical model not only takes into account the minimization of system operating costs, but also considers minimization of carbon emissions related to the transportation and processing of used products, and the minimum rate of resource utilization is also required in order to minimize the waste of resources in landfill. Illustration, sensitivity analysis, and numerical experimentation are given to show the applicability and computational efficiency of the proposed model. This work provides an alternative approach to account both economic and environmental sustainability of a reverse logistics system. The result explicitly shows the trade-off between the costs and carbon emissions, cost effectiveness for improving environmental performance, and influences from resource utilization, all of which have great practical implication on decision-making of network configurations and transportation planning of a reverse logistics system. For future development of this work, suggestions are also given latter in this paper.

关键词： Reverse logistics Network design Facility location Transportation planning Environmental impacts Carbon emissions multi-objective programming Mixed integer programming

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Modelling of efficient distributed generation porfolios using a multiobjective optimization approach

Modelling of efficient distributed generation porfolios usin...

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IEEE Manchester PowerTech

作者： von Haebler, Jonas Erlemeyer, Fabian Rehtanz, Christian Blanco, Gerardo TU Dortmund Univ Dortmund Germany Natl Univ Asuncion San Lorenzo Paraguay

ISBN: (纸本)9781509042371

In course of the German power system transition to a higher share of renewable energy sources decentralized activities constitute a major driving force for the growth of renewable energy capacity. In this context plural activities and initiatives on the local and regional level are followed to develop concepts for an efficient and sustainable regional energy supply. To achieve these goals various objectives has to be simultaneously accomplished. Generally, these objectives contradict to each other and cannot be handled by a single optimization technique. This paper proposes a multiobjective (MO) optimization approach for identifying efficient DG generation portfolios regarding multiple objectives. The methodology presented allows the planner to decide the best trade-off between the self-supply degree, environmental impact and electricity generation cost. The proposal applies, in a study case, a MO genetic algorithm that allows identifying a set of non-inferior Pareto-optimal solutions.

关键词： Distributed generation portfolio analysis multi-objective programming genetic algorithms

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A Plan for Cities of Growth

A Plan for Cities of Growth

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2017 2nd International Conference on Education,Sports,Arts and Management Engineering(ICESAME 2017)

作者： Xinhua Jiang North China Electric Power University Baoding

This paper proposes reasonable metric to measure the success of smart growth of a city and obtain the wise plan for cities. The whole work is carried out by means of comprehensive analysis under some hypothesized settings. We set up five primary indicators: economic, society, environment, geographical conditions and demographics, each of which is subdivided into several secondary indicators. Analytic Hierarchy Process(AHP) Model is established to determine the weight of each indicator, which is adequately filled in the three-hierarchy structure. To overcome weakness of excess subjective factors in AHP, Fuzzy Synthetic Evaluation model is proposed to classify our indicators using data of 12 cities as samples. We divide scores into five levels in descending order: A, B, C, D and E. Combining the two models, the data is normalized, the eigenvalues and eigenvectors of judging matrix are calculated and the consistency test is conducted, which indicates robustness of our indicators classification.

关键词： Smart growth AHP Fuzzy Synthetic Evaluation multi-objective programming

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New Design of Dams on Zambezi River

New Design of Dams on Zambezi River

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2017 5th International Conference on Machinery,Materials and Computing Technology(ICMMCT 2017)

作者： Aijing Liu North China Electric Power University (Baoding)

A lot of attention has recently been paid to the crisis of the Kariba Dam on the Zambezi River. The dam is in urgent need of maintenance. In order to solve this problem, a series of models are established, and the construction scheme of the dams is studied in detail. At first we establish Safe Operation Model. In this model, we study the relationship between overflow risk rate and dam numbers to determine the approximate range of the quantity. We then analyze the cost and the benefits of the project. Finally, the number of dams is determined by the cost and the benefits. The optimal number of dams that we have calculated is 16. At last, we analyze the results of each of these models, performing sensitivity analysis on the input parameters and demonstrating their flexibility. Then we analyze the strength and weakness of the model.

关键词： the Kariba Dam Safe Operation Model multi-objective programming

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multi-objective programming for optimal DG integration in active distribution systems

Multi-objective programming for optimal DG integration in ac...

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IEEE-Power-and-Energy-Society General Meeting

作者： Pilo, F. Celli, G. Mocci, S. Soma, G. G. Dept Elect & Elect Engn Cagliari Italy

ISBN: (纸本)9781424483570

Active distribution networks have the capability to allow the distributed energy resources integration at reasonable costs, opening new business opportunities. Although the sharing of responsibility among the system stakeholders (e.g., the Civil Society, the DSO and DER owners) is essential, undeniably they pursue different, and sometimes opposite goals. The authors, by adopting multi objective programming to simulate the behavior of the stakeholders, aim at assessing how the system players will drive the distribution evolution under the influence of different regulatory environments. All the scenarios have been analyzed on a case study representative of a typical distribution system. The results presented can help Regulators to define a fairer asset and performance based distribution revenue.

关键词： Distributed Generation Active Distribution Systems Distributed Energy Resources multi-objective programming

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Bi-criteria approach to containership slot allocation in liner shipping

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MARITIME ECONOMICS & LOGISTICS 2016年第2期18卷 141-157页

作者： Ting, Shih-Chan Tzeng, Gwo-Hshiung Natl Taiwan Ocean Univ Fac Maritime Transport & Management Dept Transportat Sci 2 Pei Ning Rd Keelung Taiwan Natl Taipei Univ Grad Inst Urban Planning 151 Univ Rd New Taipei 23741 Taiwan

Containership capacity allocation is an important issue since liner companies must avoid unused space on a voyage to maximize their revenue. Therefore, in the face of uncertain cargo demand and fiercely competitive markets, liner carriers build revenue management systems to maximize voyage profits through careful consideration of slot allocation and pricing. A containership slot allocation model is proposed in this article to deal with two conflicting objectives: carrier's freight contribution and agents' degree of satisfaction, as well as fuzzy constraints, that is, uncertainties of cargo transportation demand and weight. This model is formulated using fuzzy multi-objective programming for deep-sea liner service containership slot allocation. Interactive fuzzy multi-objective linear programming with fuzzy parameters is applied to solve this problem. The proposed model is applied to an Asia-Europe service route of a liner company to test its efficacy. Results show the model's applicability and excellent performance in practice.

关键词： liner shipping slot allocation multi-objective programming

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Resource Allocation for Wireless Information and Energy Transfer in Macrocell-Small Cell Networks 84

Resource Allocation for Wireless Information and Energy Tran...

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84th IEEE Vehicular Technology Conference (VTC-Fall)

作者： Lohani, Sudha Hossain, Ekram Bhargava, Vijay K. Univ British Columbia Vancouver BC Canada Univ Manitoba Winnipeg MB Canada

ISBN: (纸本)9781509017010

Wireless energy transfer capability and multi-tier network architecture are both envisioned as inherent features of the next generation wireless networks, on account of exponentially increasing low power connected devices and the rising concern about their limited battery life. In this paper, we investigate joint resource allocation problem, for wireless information and energy transfer in small cells overlaid by macrocell. Using scalarization technique of multi-objective programming, we jointly optimize energy harvesting rate and achievable throughput of smallcell users while ensuring that minimum throughput requirement of macrocell user is satisfied. The formulated MINLP problem is converted to convex optimization problem by relaxing some variables and introducing auxiliary variables. We highlight the condition at which the obtained solution is the optimal solution of the original problem. Numerical results are presented to analyze the performance of the proposed resource allocation framework and show the improvement in achieved energy harvesting rate, by comparing with a benchmark scheme.

关键词： Wireless energy transfer time-switching small cells multi-tier network interference management resource allocation multi-objective programming convex optimization

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Nurse scheduling with lunch break assignments in operating suites

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OPERATIONS RESEARCH FOR HEALTH CARE 2016年第0期10卷 35-48页

作者： Lim, Gino J. Mobasher, Arezou Bard, Jonathan F. Najjarbashi, Amirhossein Univ Houston Dept Ind Engn 4800 Calhoun Rd Houston TX 77204 USA Optym Inc Gainesville FL USA Univ Texas Austin Grad Program Operat Res & Ind Engn Austin TX 78712 USA Univ Houston Dept Ind Engn Houston TX 77004 USA

Motivated by the need to make frequent changes in operating suites, this paper presents a highly scalable and efficient solution framework for scheduling nurses in operating suites over the day. This framework consists of two core optimization models that are necessary for scheduling OR nurses in the clinic. The first model addresses the multi-objective optimization problem of assigning nurses to upcoming surgery cases based on their specialties and competency levels. The second model is designed to generate lunch break assignments for the nurses once their caseloads are determined. The latter problem has been largely overlooked by the research community despite its importance. Because the multi-objective model is too large to solve using commercial software, we developed both a column generation algorithm and a two-phase swapping heuristic to find feasible assignments in a fast manner. For both approaches, initial solutions are obtained with a restricted model and lunch breaks are scheduled in a post-processing step. Experiments were conducted to determine the value of the models and the performance of the algorithms using real data provided by MD Anderson Cancer Center in Houston, Texas. The results show that the two approaches can produce implementable daily schedules in a matter of minutes for instances with over 100 nurses, 50 surgery cases and 33 operating rooms. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Nurse scheduling Lunch breaks multi-objective programming Column generation Improvement heuristics

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Design of the Optimization Scheme about the Vehicle logistics Loading 28

Design of the Optimization Scheme about the Vehicle logistic...

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28th Chinese Control and Decision Conference

作者： Zhang, Jie Lei, Yang Yu, Yang Northeast Dianli Univ Coll Sci Jilin 132012 Jilin Peoples R China Northeast Dianli Univ Jilin 132012 Jilin Peoples R China

ISBN: (纸本)9781467397148

In order to achieve the minimum amount of car carriers and the shortest driving path, this paper analyzes the actual constraints that passenger cars loading need to satisfy, and then builds the multi-objective integer programming model of the design of the optimization scheme about passenger cars logistics loading and it also designs a heuristic algorithm of the problem, which are all used to solve practical problems.

关键词： Passenger Cars Logistics multi-objective programming Integer programming Heuristic Algorithm

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