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Automated generation of optimised building envelope: simulation based multi-objective process using evolutionary algorithm

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International Journal of Sustainable Building Technology and Urban Development 2014年第3期5卷 159-170页

作者： Yi, Hwang School of Design University of Pennsylvania Philadelphia 19104 United States

This paper seeks to investigate methodology on the seamless integration for constructing a climate-conscious building envelope. The focus is targeted to provide architectural designers with an intelligent way to develop their design alternatives in the early phase of a project. Improved environmental performance can be achieved by using an optimised building envelope based on local data analysis. For tight integration, coupling of MATLAB and Rhino was employed through coding for real-time information exchanges. EnergyPlus and ECOTECT were implemented in the modelling process to simulate environmental performance. This process considers two cost functions: solar radiation and energy. Respective performance check-up runs into multi-objective programming (MOP). Decision-making in MOP is optimised by using an Evolutionary Algorithm (EA), and culminated with Pareto efficiency. A sample experiment was conducted to test the methodology and results. The city, Moscow, having a conflicting claim of energy use reduction and increment of solar radiation due to its frigid local weather, was selected. Variants of adapted forms in the urban setting were visualised though the EA process in Rhino, and finalised to each dissimilar objective. The Pareto frontier method compromised the final models which were fitted best to energy and solar radiation each. The result shows how a form of building envelope can be adapted in a specific local context. This procedure serves to put forward a new user-oriented methodology and its application, intensifying the practical viability of performance-based building design in the future. © 2014 Taylor & Francis.

关键词： climate-conscious building envelope evolutionary algorithm multi-objective programming

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Zum Spieltheoretisehen Kompromi& ß in der Vektoroptimierung

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Optimization 1985年第1期16卷 29-39页

作者： Dewess, G. Karl-Marx-Universitӓt Leipzig Sektion Mathematik DDR - 7010 Leipzig Karl-Marx-Platz Germany

Der spieltheoretische Ansatz von JÜTTLE[R8 ] für die Berucksichtigung mehrerer linearer Zielfmktionen bei der Optimierang führt bekanntlich im allgemeinen auf eine nichteffiziente Lösung. Für eine natiirliche Weiterentwicklung, die im Wesen mit der van KÖRTX [10] angegebeaen übereinstmmt, cbon wir aine solche Präzisierung an, daß Effizienz folgt. Die entsprechende parametrische Variante „gewichtet-spieltheoretischer Kompromiß”, eine Goal-Programmierung mit spezieller Betsagsmaximumnorm, bietet Vergleichsmöglichkeiten zu anderen Kompromißauffassungen. Die Parametrisierung ist anschaulicher als die bisher übliche und somit besser für den Mensch-Maschine-Dialog geeipet. Tinter für Anwendungszwecke nicht einschneidenden Voraussetzungen ergibt sich ein neues Effizienztheorem. Die Existenz- und Effizienzaussagen lassen sich auf ziemlich allgemeine Vektoroptimierungsaufgaben ausdehnen (kompakter Bereich, stetige Zielfunktionen, keine Konvexitätsannahmen). © 1985, Taylor & Francis Group, LLC. Alle Rechte vorbehalten.

关键词： Game theory multi-objective programming

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Optimization of the sustainable food supply chain with integrative data envelopment analysis approach

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INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT 2024年第4期19卷 278-293页

作者： Nannar, Siwaporn Sindhuchao, Sombat Chaiyaphan, Chewaphorn Ransikarbum, Kasin Surindra Rajabhat Univ Dept Ind Technol Surin Thailand Ubon Ratchathani Univ Dept Ind Engn Ubon Ratchathani Thailand Thai Nichi Inst Technol Dept Logist & Supply Chain Management Bangkok Thailand

In this study, the supply chain system of the food supply chain (FSC) is assessed. Initially, the operations of farmers are examined using the Data Envelopment Analysis (DEA) technique. Then, locations of relatively efficient farmers are used as potential collection sites for the distribution at the downstream operations. Next, the multi-objective Optimization Model is proposed to examine location and distribution channels under the sustainability paradigm. That is, the economic criterion is primarily considered by focusing on minimizing the total supply cost. The social criterion is next deliberated by evaluating the equality aspect of farmers for the fair proportion of vegetable supply. Then, the environmental criterion is incorporated by assessing the CO2 emissions of food transportation activity. Additionally, a trade-off analysis is analyzed to investigate the conflicting behavior of model using the Non-Preemptive programming method. The sensitivity analysis is further examined by varying the time-requirement parameter to verify the model functionalities. Finally, the regional case study in Thailand based on the food supply data is applied to validate the model. Given that farmers are distant from diverse locations, the results of our study can provide a strategic choice for key decision-makers in the FSC network under sustainability consideration.

关键词： Food supply chain sustainability data envelopment analysis multi-objective programming non-preemptive method

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Selection of Efficient Points

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Optimization 1986年第2期17卷 227-236页

作者： Dinh, D. Hungarian Academy of Sciences Computer and Automation Institute Budapest Hungary

This study presents a unified method for selecting efficient points in vector optimization problems. The method is based upon the construction of scalar representations for vector problems with the aid of certain families of surfaces. It is also discussed the question of constructing a family of surfaces which allows to draw corresponding scalar problems whose optimal solutions perform a given select ion of efficient points. © 1986, Taylor & Francis Group, LLC. All rights reserved.

关键词： multi-objective programming Scalarization Selection of efficient points

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Air traffic management in parallel-point merge systems under wind uncertainties

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JOURNAL OF AIR TRANSPORT MANAGEMENT 2022年第0期104卷

作者： Donmez, Kadir Cetek, Cem Kaya, Onur Eskisehir Tech Univ Dept Air Traff Control Eskisehir Turkey Eskisehir Tech Univ Dept Ind Engn Eskisehir Turkey

The point merge system (PMS) was developed by EUROCONTROL in 2006 to enable controllers to implement systematic sequences and replace the traditional vector technique in Terminal Maneuver Area (TMA) even during peak hours. A conventional PMS includes two arc-shaped route segments referred to as sequencing legs and a single merge point to merge arrivals. When necessary, arrivals can be delayed along these legs using path stretching before they are directed to the merge point. After merging, aircraft join the final approach. The parallel-point merge system (P-PMS), however, has a more complex route structure which consists of two oppositely located PMS and a set of common points located between the merge points and final paths of runways. This system increases the capacity of the airspace and provides the advantages of the single PMS. However, especially in simulation studies where P-PMS has been tested, the emphasis on wind sensitivity came to the fore as one of the main issues affecting the use of the system. The use of P-PMS was stated as feasible but more difficult due to the loss of symmetry, especially when the wind is perpendicular to the sequencing legs. Controllers may need help in providing safe and efficient sequences in this type of structure. In this study, a multi-objective two-stage stochastic programming model is developed for P-PMS to obtain robust aircraft sequences, schedules, and runway assignments considering the uncertainties of both wind direction and speed. The model was implemented on the existing layout of Istanbul Airport having a P-PMS serving five parallel runways using the real traffic and wind data. A scenario-based approach was adopted to represent the uncertainties of the model. Also, to meet the demands of the various stakeholders in the air traffic system, the minimization of total fuel consumption, total flight time, and total delays were considered as single and multi-objectives. As a result, it was found that the stochastic approa

关键词： Air traffic management Stochastic programming multi-objective programming Parallel-point merge system Wind uncertainties

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A multi-objective model for seasonal personnel reassignment

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Civil Engineering Systems 1986年第1期3卷 16-21页

作者： Wright, Jeff R. Egly, Steven C. Gallivan, Hugh W. School of Civil Engineering Purdue University West Lafayette Indiana 47907 United States IBM Corporation Gaithersburg Maryland 20819 United States

The focus of this research was the development of a model to address the problem of reassigning summer construction workers to winter snow and ice removal teams in an efficient and cost-effective manner. The model is a multi-objective integer program that can generate the complete and precise trade-off curve between the objectives of minimizing total distance that the reassigned workforce must travel from their respective homes to one of many site locations, and minimizing the maximum distance that any one worker must travel. System constraints include demand requirements for workers at each site and the limited availability of state-owned vehicles that may be issued to workers assigned to remote sites. Details of the model structure and solution procedure are presented together with the results of an actual application. © 1986 Butterworth & Co. (Publishers) Ltd

关键词： mathematical modelling multi-objective programming optimization personnel management public services snow removal

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A Risk-Based Stability Dispatch of High Wind-Penetrated Power Systems with Energy Storage

A Risk-Based Stability Dispatch of High Wind-Penetrated Powe...

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IEEE Innovative Smart Grid Technologies - Asia

作者： Xuekuan Xie Zhao Yang Dong Tengjun Zuo Yan Xu School of Electrical Engineering and Telecommunications University of New South Wales School of Electrical & Electronic Engineering Nanyang Technological University

ISBN: (纸本)9781538642924

This paper proposes a multi-objective preventative-emergency coordinated control (MO-PECC) method for high wind-penetrated power systems. The method facilitates utility-grade energy storage (ES) to realize post-contingency emergency control, and can generate indicator of system instability risk for solution sets. Once an unstable post-contingency system is detected, the ES systems immediately react for power injection/retraction, thus achieving emergency control to alleviate short-term system power imbalance and stabilizing the system together with synchronous generators. Numerical tests are performed on a modified IEEE-39 system, in which 3 synchronous generators are replaced by 3 same-scale wind farms. The test results verified the effectiveness of the proposed coordinated method, and the calculating time is relatively small, which is suitable for online calculation.

关键词： Energy storage Wind power multi-objective programming Transient stability Coordinated control

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Analysis on Large Consumer Price Models in Electricity Market

Analysis on Large Consumer Price Models in Electricity Marke...

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3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008), vol.1

作者： Xia Lei Junyong Liu Liang Du Li Zhang School of Electrical Information Xihua University Chengdu China School of Electricity and Electronic Information Sichuan University Chengdu China

A price determination mode for large consumers is proposed under the present environments with large consumers purchasing electric power from the electricity supply utility in some area in Yunnan. With abundant waterpower in Yunnan, most of consumed electric power of large consumers is signed in the form of contracts. The contract price is determined by optimizing resources and maximizing profits of the supply utility. The different price is in accordance with different demand-price elasticity of large consumers. The difference between planned and actual consumption power is balanced in two spot markets. Because of the randomicity of spot price and trading power, the sale price of the supply utility in spot market is calculated based on stochastic programming. At last, simulation verifies the rationality of the models, which solves a part of problems faced by the supply utility in selling electricity to large consumers.

关键词： Demand-price elasticity Electricity market Electricity supply utility Large consumers multi-objective programming Season-of-use price Spot price Stochastic programming

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New approach to determine common weights in DEA efficiency evaluation model

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Chinese Journal of Systems Engineering and Electronics 2010年第4期000卷

作者： Feng Yang Chenchen Yang Liang Liang Shaofu Du School of Management University of Science and Technology of ChinaHefei 230026P.R.China

Data envelopment analysis(DEA)is a mathematical programming approach to appraise the relative efficiencies of peer decision-making unit(DMU),which is widely used in ranking ***,almost all DEA-related ranking approaches are based on the self-evaluation *** other words,each DMU chooses the weights it prefers to most,so the resulted efficiencies are not suitable to be used as ranking *** this paper proposes a new approach to determine a bundle of common weights in DEA efficiency evaluation model by introducing a multi-objective integer *** paper also gives the solving process of this multi-objective integer programming,and the solution is proven a Paroto efficient *** solving process ensures that the obtained common weight bundle is acceptable by a groat number of *** a numeral example is given to demonstrate the approach.

关键词： data envelopment analysis(DEA) common weight ranking multi-objective programming

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Empirical Spatial Density-Based Emergency Medical Service Demand Forecast for Ambulance Allocation

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ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS 2021年第1期13卷

作者： Tsai, Yihjia Lin, Hwei Jen Chi, Pei-Wen Lee, Kelvin W. Tamkang Univ Dept Comp Sci & Informat Engn New Taipei Taiwan Taipei Med Univ Dept Emergency Sch Med Coll Med Taipei Taiwan Taipei Municipal Wan Fang Hosp Dept Emergency & Crit Med Taipei Taiwan Univ Rochester Simon Business Sch New York NY USA

In a previous study, we solved the two-fold dynamic ambulance allocation problem, including forecasting the distribution of Emergency Medical Service (EMS) requesters and dynamically allocating ambulances according to the predicted distribution of requesters. In the definition of the coverage region, the Euclidean distance was used, which is not suitable for measuring the length of a route between two places. This study improved on the previous one by redefining the coverage region for practical application and providing a simulation model to verify the effectiveness of the proposed ambulance allocation method. The simulation results show the proposed allocation method providing higher demand coverage rates and shorter response distances than the official allocation.

关键词： multi-objective programming emergency medical service qradtree decomposition particle swarm optimization ambulance allocation

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