A Multiobjective Optimization Model for Packing Proposals in Large-Scale R&D Project Review

This paper presents a framework which integrates maintenance and optimal operation of multiple compressors. The outcome of this framework is a multiperiod plan which provides the schedule of the operation of compressors: the schedule gives the best decisions to be taken, for example, when to carry out maintenance, which compressors to use online and how much to load them. These decisions result in the minimization of the total operational costs of the compressors while at the same time the demand of the plant is met. The suggested framework is applied to an industrial gas compressor station which encompasses large multistage centrifugal compressors operating in parallel. The optimization model of the framework consists of three main parts: the models of compressor maps, the operational aspects of compressors, and a maintenance model. The results illustrate the optimal schedule for 90 days and an example of the optimal distribution of the load of the compressors for 5 days. Finally, the results show the economical benefits from the integration of maintenance and optimization.

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Multiobjective Optimization Model for Prioritizing Transit Stops for ADA Improvements

Journal of Transportation Engineering ◽

10.1061/(asce)te.1943-5436.0000244 ◽

2011 ◽

Vol 137 (8) ◽

pp. 580-588 ◽

Cited By ~ 4

Author(s):

Wanyang Wu ◽

Albert Gan ◽

Fabian Cevallos ◽

Mohammed Hadi

Keyword(s):

Multiobjective Optimization ◽

Optimization Model

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The Multiobjective Optimization Model of Open Mill Mastication Parameters

Lecture Notes in Electrical Engineering - Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control ◽

10.1007/978-3-662-48768-6_132 ◽

2016 ◽

pp. 1179-1190

Author(s):

Zhang Liang ◽

Wang Qidong ◽

Zhu Lihong ◽

Zhao Han

Keyword(s):

Multiobjective Optimization ◽

Optimization Model

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Optimization design of building isolation structure based on sustainable benefit analysis

International Journal of Building Pathology and Adaptation ◽

10.1108/ijbpa-05-2020-0044 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jia Wu

Keyword(s):

Life Cycle ◽

Optimization Model ◽

Optimization Design ◽

Large Scale ◽

Building Materials ◽

Cost Ratio ◽

Benefit Analysis ◽

Seismic Capacity ◽

Content Type ◽

Whole Life Cycle

PurposeThe study shows that with the progress of building technologies and building materials, the scale of buildings has increased. But in earthquake-prone areas, large-scale buildings mean higher risks; therefore improving the seismic capacity of buildings is an important measure to reduce the risk of buildings.Design/methodology/approachIn this study, the isolation structure of buildings was introduced briefly, and the cost-benefit based optimization model of the isolation structure was constructed. The optimization of the isolation structure was carried out from the perspective of benefit analysis. Then, two buildings with the same structure were analyzed as examples. One kept the original isolation structure, and the other optimized the isolation structure with the optimization model.FindingsThe final results showed that the optimized isolation structure had a lower input cost ratio, i.e. it had a higher benefit in the same whole life cycle, and the expected loss cost of the structure produced in the same life cycle was lower.Originality/valueIn conclusion, the optimization model of the isolated structure based on benefit analysis can effectively improve the benefit of building isolation structure produced in the whole life cycle.

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A Multiobjective Optimization Model for Continuous Allocation of Emergency Rescue Materials

Mathematical Problems in Engineering ◽

10.1155/2020/5693182 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

Yonghong Liu ◽

Yucheng Li ◽

De Huang

Keyword(s):

Multiobjective Optimization ◽

Optimization Model ◽

Supply And Demand ◽

Economic Losses ◽

Allocation Scheme ◽

Nsga Ii ◽

Pareto Solution ◽

Emergency Relief ◽

Rescue Work ◽

Emergency Rescue

Emergency rescue operations play a vital role in alleviating human suffering, reducing casualties, and cutting down economic losses. One key aspect in the management of these operations is the rational allocation of emergency relief materials, where the allocation is continuous, dynamic, and concurrent. This allocation should be made not only to minimize the emergency rescue losses, but also to reduce the cost of emergency rescue work. A reasonable and effective allocation scheme for emergency relief materials can be established to adapt to the continuity, dynamics, and concurrency of material distribution. In this work, we propose a multiobjective optimization model of emergency material allocation with continuous time-varying supply and demand constraints, where the objective is to minimize the losses and the economic cost incurred by the emergency rescue operations. The constrained optimization problem is handled through sequential unconstrained minimization techniques, and the multiobjective optimization is carried out by the fast nondominated sorting genetic algorithm (NSGA-II) with an elite strategy to obtain a Pareto solution set with fairness and balance of loss and cost. The loss and cost associated with the Pareto frontier are employed to find an appropriate noninferior solution and its corresponding material allocation scheme. We verify through several simulations the model feasibility and the effectiveness of the proposed method, which can provide decision support for continuous material allocation in emergency rescue operations.

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