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Development of the layout method for a high-rise housing complex using parametric algorithm

JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING 2020年第1期19卷 30-47页

作者： Kim, Kilsaem Cho, Minjung DA Grp Co DA Design Studio 1 Seoul South Korea Inha Univ Dept Architecture Incheon South Korea

An algorithm-based parametric design method was developed to generate the layout of a high-rise housing complex with improved sunlight access and compliance with the relevant building code restrictions in South Korea. Integrated with computer-aided modelling and simulation, the algorithm automatically arranges multiple apartments according to their height, separation, the shaded area between adjacent buildings and setbacks from site boundaries. The algorithm was then implemented in three high-rise housing complexes across South Korea to validate its feasibility. In all three cases, the algorithm generated housing layouts that satisfied the considered building regulations and improved overall sunlight exposure conditions. Particularly, lower-density housing with fewer buildings or floors were found to be more effective in allowing sunlight access: more housing units were included in the longest sunlight exposure duration whereas fewer units were included in the shortest sunlight duration. The proposed parametric approach allows the effective execution of both diverse experiments in housing design layouts and assessments of layouts' sunlight access conditions, enhancing sustainable decision-making in the design process.

关键词： parametric algorithm housing complex housing layout sunlight exposure

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Harmonic spectrum estimation and analysis of the voltage at the PCC of the distribution network connected to solar plant based on parametric algorithm (Music) 17

Harmonic spectrum estimation and analysis of the voltage at ...

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17th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC) / 1st IEEE Industrial and Commercial Power Systems Europe Conference (IEEE I and CPS Europe)

作者： Noshahr, Javad Behkesh Kalesar, Belal Mohamadi APED Co Ardebil Iran

ISBN: (纸本)9781538639177

In recent years, distribution network-connected single-phase and three-phase solar power plants have been growingly used in order to increase network sustainability, reduce loss, and improve voltage profile. Merging renewable distributed generation sources (DG) in distribution networks has caused some problems in measurement of power quality parameters. The use of electronic power devices in photovoltaic systems leads to injection of harmonic and inter-harmonic components into the distribution networks and, consequently, deviation of the network frequency around the main frequency;furthermore, the switching frequency of static inverters used in DG sources causes an increase in emission of supra-harmonics. Type and structure of devices used in static inverters of photovoltaic systems play fundamental role in generation and injection of harmonics, inter-harmonics, and supra-harmonics. The present paper is aimed to analyze the harmonic spectrum analysis in range of 0-2KHz caused by 2&3-level inverters used in a photovoltaic system using MUSIC parametric algorithm. The spectrum analysis results obtained from the above-mentioned simulation would be compared with other methods such as FFT (Fast Fourier Transform) algorithm and Welch's algorithm. Then the photovoltaic system's harmonic emission rate in frequency range of 2-150 KHz caused by 2&3-level inverter would be evaluated. Simulation has been performed as Real-time in Matlab/Smiulink Software environment. Results indicated that the harmonic spectrum analysis in presence of DG sources using MUSIC algorithm had high resolution and low error percentage;furthermore, the emission rate of supra-harmonics (2-150 KHz) using NPC 3-level inverter has been reduced by 50%.

关键词： parametric algorithm solar power plant harmonic emission static inverters supra-harmonics

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Generative design and performance optimization of residential buildings based on parametric algorithm

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ENERGY AND BUILDINGS 2021年 244卷 111033-111033页

作者： Zhang, Jingyu Liu, Nianxiong Wang, Shanshan Tsinghua Univ Sch Architecture Beijing 100084 Peoples R China

As passive green design and performance optimization are very important in the early design stage of green residences to reduce building energy consumption, energy-efficient green design and artificial intelligence technology are combined in this work for the design of residential buildings. A parametric generative algorithm is developed to automatically generate design schemes of typical Chinese urban residences based on performance-oriented design flow. By summarizing the workflow of architects, the algorithm based on the technical route is as follows: 1) spatial form features extraction of residence database;2) automatic generation and energy simulation of new design schemes;3) evaluation and screening of generated schemes. The generative algorithm is formulated with Rhino/Grasshopper and Python. Via a residence design case in Beijing, the design scheme with the lowest cooling and heating load among 1,595 automatically generated schemes is deemed as the optimal scheme. The total load of the optimal scheme is 15.8% lower than that of the worst scheme and 4.2% lower than that of the original scheme. Therefore, the parametric generative design of residences is able to facilitate passive green design in the early design stage and enhance energy efficiency without the increase of construction costs. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Residential building design Generative design Building performance parametric algorithm

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A parametric MAXIMUM FLOW algorithm FOR BIPARTITE GRAPHS WITH APPLICATIONS

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 1995年第1期80卷 226-235页

作者： CHEN, YL NATL CENT UNIV DEPT INFORMAT MANAGEMENTCHUNGLI 32054TAIWAN

Suppose we are given a capacitated bipartite network G with node sets S and T. In network G, the arc capacities are not fixed values but are functions of a single parameter lambda, where lambda is a continuous real variable. Our problem is to determine the minimum value of lambda such that the maximum flow value in the corresponding network equals a given threshold. For this problem, an algorithm of time complexity O(nm(2) log(m/n)) is presented, where n is the number of nodes in S, m is the number of nodes in T and n less than or equal to m. Examples are then given to show how to use this parametric algorithm to solve practical problems.

关键词： BIPARTITE GRAPH MAXIMUM FLOW parametric algorithm

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A Faster algorithm for Computing the Principal Sequence of Partitions of a Graph

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algorithmICA 2010年第4期56卷 394-412页

作者： Kolmogorov, Vladimir Univ Coll London Adastral Pk IP5 3RE Martlesham Heat England

We consider the following problem: given an undirected weighted graph G=(V,E,c) with nonnegative weights, minimize function c(delta(I ))-lambda|I | for all values of parameter lambda. Here I is a partition of the set of nodes, the first term is the cost of edges whose endpoints belong to different components of the partition, and |I | is the number of components. The current best known algorithm for this problem has complexity O(|V|(2)) maximum flow computations. We improve it to |V| parametric maximum flow computations. We observe that the complexity can be improved further for families of graphs which admit a good separator, e.g. for planar graphs.

关键词： Principal sequence of partitions Network attack Network strength Minimum cut/maximum flow parametric algorithm

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algorithm to determine local basis weight of random fibrous networks with X-ray microtomography and SEM images

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TEXTILE RESEARCH JOURNAL 2024年第7-8期94卷 859-868页

作者： Hewavidana, Yasasween Balci, Mehmet Gleadall, Andrew Pourdeyhimi, Behnam Silberschmidt, Vadim Demirci, Emrah Loughborough Univ Wolfson Sch Mech Elect & Mfg Engn Loughborough Leics England Hacettepe Univ Dept Mech Engn Ankara Turkiye North Carolina State Univ Wilson Coll Text Raleigh NC 27695 USA Loughborough Univ Dept Mech Elect & Mfg Engn Loughborough LE11 3TU England

Analysis of the basis weight for random fibrous networks is important to understand their microstructure, properties and performance. Two-dimensional microscopical images show in-plane fibers without giving any information on their distribution in three dimensions. This research introduces a fully parametric algorithm for computing the local basis weight of random fibrous networks using three-dimensional images because out-of-plane fiber orientation is important, especially for high-density or thick networks. Voxel models of real nonwoven webs were generated by an X-ray micro-computed tomography system. The developed algorithm could accurately estimate a local basis weight value for random fibrous networks produced with various manufacturing parameters. Numerical results computed with the developed method were compared with those obtained with a physical weight measurement technique. The algorithm was tested and validated for various nonwoven fabrics with different densities. It was observed that the developed method can be used to examine and/or compare the basis weight of a wide range of random fibrous networks. In addition, it can be used to predict the basis weight for fabrics, especially in a new product development process.

关键词： Basis weight fibrous structure nonwovens parametric algorithm X-ray micro-CT

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parametric search and problem decomposition for approximating Pareto-optimal paths

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TRANSPORTATION RESEARCH PART B-METHODOLOGICAL 2012年第8期46卷 1043-1067页

作者： Xie, Chi Waller, S. Travis Univ Texas Austin Dept Civil Architectural & Environm Engn Ctr Transportat Res Austin TX 78712 USA Univ New S Wales Sch Civil & Environm Engn Sydney NSW 2052 Australia

The multiobjective shortest path problem arises in many transportation and logistics applications, either as a stand-alone network routing problem or a subroutine of a more complex multiobjective network optimization problem. It has been addressed by different solution strategies, including labeling methods, ranking methods, constraint methods, and parametric methods. Increasing attention has been paid to parametric methods in recent years, partially because of its simple algorithmic logic and its flexibility of being used in different user-preference decision-making environments. The core idea of a parametric algorithm is scalarization, by which a multiobjective shortest path problem can be tackled by repeatedly solving a single-objective subproblem. However, existing parametric algorithms suffer two notorious deficiencies, which considerably limit its further applications: first, typical subroutines for the single-objective subproblem in general cannot capture nonextreme Pareto-optimal paths;second, parametric algorithms for biobjective problems cannot be directly extended to solving multiobjective problems. This paper provides some algorithmic improvements that can partially overcome these deficiencies. In particular, the contribution of this work is twofold: first, in the biobjective parametric solution framework, we propose an approximate label-setting algorithm for the parameterized, constrained single-objective subproblem, which is capable of identifying all extreme paths and a large percentage (i.e., 85-100%) of nonextreme paths;second, we suggest a general projection scheme that can decompose a multiobjective problem into a number of biobjective problems. The approximate parametric algorithm runs in polynomial time. The algorithmic design and solution performance of the algorithm for multiobjective shortest path problems are illustrated, and numerically evaluated and compared with a benchmark algorithm in terms of solution completeness and efficiency. (C) 2

关键词： Pareto-optimal solution Biobjective shortest path Constrained shortest path parametric algorithm Multiobjective problem decomposition

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A parametric approach to integer linear fractional programming: Newton's and Hybrid-Newton methods for an optimal road maintenance problem

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2021年第3期289卷 1030-1039页

作者： Park, Chong Hyun Lim, Heejong Sejong Univ Sch Business 209 Neugdong Ro Seoul 05006 South Korea Univ Seoul Sch Business Adm 163 Seoulsiripdaero Seoul 02504 South Korea

In this paper we study a parametric approach, one of the resolution methods for solving integer linear fractional programming (ILFP) problems in which all functions in the objective and constraints are linear and all variables are integers. We develop a novel complexity bound of Newton's method applied to ILFP problems when variables are bounded. The analytical result for the worst-case performance shows that the number of iterations of Newton's algorithm to find an optimal solution of the ILFP problem is polynomially bounded. We also propose a Hybrid-Newton algorithm and empirically show that it is relatively faster and more robust than the Newton algorithm under various data scenarios. To illustrate the applicability of our algorithm and provide concrete managerial prescriptions, we consider a case study of a road maintenance planning problem in Seoul, Korea. The results show that our fractional efficiency measure is capable of obtaining the maximum cost-efficient lifetime of a road given a limited maintenance budget. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Fractional programming Complexity parametric algorithm Road maintenance planning

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Automation in architectural design: optimization and decision-making in interference design

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ARCHITECTURAL SCIENCE REVIEW 2024年第5期67卷 415-436页

作者： Feng, Xingyue Zhang, Han Wei, Shaonong East China Normal Univ Sch Design Shanghai Peoples R China Southeast Univ Sch Architecture Nanjing Peoples R China

The design of architectural projects encompasses a complex array of types, constraints, and contradictions, necessitating a high reliance on the personal experience of architects. Automated generative design aids in exploring various design alternatives, but current research grapples with challenges such as limited user customization, inadequate integration with site environments, and insufficient amalgamation of architectural form and performance optimization. This paper develops an algorithm for early-stage architectural generation, which employs a multi- interference item strategy, serving as a highly customizable design tool. In conjunction with performance optimization based on the NSGA-II algorithm, it introduces a versatile workflow. This paper applied this workflow in a residential building project, whilst incorporating indices such as structural performance, material usage, and site plot ratio as optimization objectives and constraints. The resulting design solutions enhance structural performance while meeting the constraints. The generative design workflow of this study boasts advantages in efficiency, performance, and customization levels. It enables designers to explore the design space in a customized manner, yielding effective solutions within a reasonable timeframe.

关键词： Generative design parametric massing algorithm Building massing design Residential building design parametric algorithm Multi-objective optimization

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The Productivity Gains Achieved In Applicability of The Prototype AITOD with Paraconsistent Logic in Support in Decision-Making in Project Remeasurement 9th

The Productivity Gains Achieved In Applicability of The Prot...

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9th International Conference of Information and Communication Technology [ICICT]

作者： de Lima, Luiz A. Abe, Jair M. Martinez, Angel A. G. Santos, Jonatas Albertini, Giovanna Nakamatsu, Kazumi Paulista Univ UNIP Grad Program Prod Engn Sao Paulo SP Brazil HSE Univ Hyogo Sch Human Sci & Environm Kobe Hyogo Japan

This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and suppliers causes disagreements because it involves multiple vague factors that are difficult to quantify. This paper aims to develop the AITOD-Intelligent Decision-making Support system, based on Paraconsistent Annotated Evidential Logic Et. This system aims to contribute to the decision-making process of managers. Such methodology has as a precept the materialization of artefacts derived from concepts. The AITOD product has achieved significant improvements in the process of mitigating project recounts. Through the AITOD system, it was verified that 46 projects would result in approval of 28.57% of the projects, 50 projects would result in approval of 64.10% of the projects. With these results, companies would avoid unnecessary expenses and rework. In the scope of the innovative project, the results achieved on the reduction of values spent on project recounting stands out, being proved the viability of the AITOD product. (C) 2019 The Authors. Published by Elsevier Ltd.

关键词： Software Measurement Function Point Analysis Paraconsistent Annotated Evidential Logic Er parametric algorithm Paraconsistent Decision Method

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