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2012, Advanced Engineering Informatics
Computer-aided architectural design Floor plan layout Relational algebras Constraint satisfaction Qualitative and quantitative reasoning a b s t r a c t Architectural floor plan layout design is what architects and designers do when they conceptually combine design units, such as rooms or compartments. At the end of this activity, they deliver precise geometric schemas as solutions to particular problems. More research on this topic is needed to develop productive tools. The authors propose orthogonal compartment placement (OCP) as a new approach to this activity. OCP includes a problem formulation and a solution method in which qualitative and quantitative knowledge are combined. Topological knowledge underlies human spatial reasoning. Computers can adequately perform repetitive topological reasoning. We believe that OCP is the first approach in CAAD to incorporate a full relational algebra to generate floor plan layouts. Based on block algebra (BA) and constraint satisfaction (CS), OCP can generate candidate solutions that correspond to distinct topological options. The analysis of a case study using a prototype tool is included.
Journal of Civil Engineering and Management, 2003
Knowledge-based tools assisting the designer in engineering represent further improvement of expert systems. The present paper shows how such software can be developed in the particular domain of floor layout design for buildings. The recently developed paradigm of hierarchical graphs is taken as the knowledge representation scheme. The user of the system is encouraged to undertake the search for rational solution at two levels. First, an analysis of functionality requirements for the designed object is performed. This results in a graph capturing main functions and relations between them. Further, this graph is mapped onto another graph depicting the floor layout in terms of areas and rooms. Both graphs produced by the user are checked against the constraints resulting from the requirements of the relevant code of practice. The final result is converted into the format accepted by a commercial CAD-tool in order to proceed with the detailed design.
A design support system with a new strategy for finding the optimal functional configurations of rooms for architectural layouts is presented. A set of configurations satisfying given constraints is generated and ranked according to multiple objectives. The method can be applied to problems in architectural practice, urban or graphic design—wherever allocation of related geometrical elements of known shape is optimized. Although the methodology is shown using simplified examples—a single story residential building with two apartments each having two rooms—the results resemble realistic functional layouts. One example of a practical size problem of a layout of three apartments with a total of 20 rooms is demonstrated, where the generated solution can be used as a base for a realistic architectural blueprint. The discretization of design space is discussed, followed by application of a backtrack search algorithm used for generating a set of potentially 'good' room configurations. Next the solutions are classified by a machine learning method (FFN) as 'proper' or 'improper' according to the internal communication criteria. Examples of interactive ranking of the 'proper' configurations according to multiple criteria and choosing 'the best' ones are presented. The proposed framework is general and universal—the criteria, parameters and weights can be individually defined by a user and the search algorithm can be adjusted to a specific problem.
The main issue we are after here is space layout planning, space layout planning which examine the capability to better utilization of architecture space, this paper will investigate the potentials of evolutionary computation in solving the combinatorial problem of space layout planning; it will focus on the topological level of problems, topological allocation concern with the relationships between two spaces, i.e. the adjacency and proximity between two spaces.
2010
2) : Thales Communications, Cholet, France +33 (0) 2 41 64 57 00 / +33 (0) 2 41 64 57 57
Floor Layout Planning Using Artificial Intelligence Technique, 2017
In the era of e-commerce while buying furniture online the customers obviously feel the need for visual representation of the arrangement of their furniture. Even when doing interiors of the house it's difficult to just rely on assumptions about best layouts possible and professional help may become quite expensive. In this project, we make use of Genetic Algorithm (GA) which is an Artificial Intelligence technique to display various optimal arrangements of furniture. The basic idea behind using GA is developing an evolutionary design model. This is done by generating chromosomes for each possible solution and then performing a crossover between them in each generation until an optimum fitness function is reached. Modification in chromosome representation may also be done for better results. The proposed system will generate different layout designs for the furniture keeping in consideration the structure of a master bedroom.
2001
Fuzzy modeling provides methods and techniques for qualifying and quantifying imprecise and uncertain information. The main advantages of fuzzy design representation are fluency, abstraction and continuity, at a level similar to that of analogue techniques, as well as the possibility of local autonomy, i.e. segmentation of a representation into self-regulating and cooperating components. The paper investigates the applicability of fuzziness to digital architectural sketching of floor plan layouts. Based on an analysis of the paradigmatic dimension in analogue floor plan sketches three alternative forms are proposed: (1) Canonical objects with tolerances, (2) objects described by minimal and maximal values, and (3) point sets which decompose the form of an object into a number of discrete, autonomous particles that describe the object by their position and spatial or structural relationships.
Advances in Social Science, Education and Humanities Research
This study investigates the spatial programming approach for designing a government shared-office masterplan in architectural design. This case study takes part in an architectural competition, which is to attain schematic design asbuilt environment. The location is posited Tulang Bawang Barat (Tubaba) district, Lampung province, Indonesia. The office complex has eleven departments to facilitate official government activities. This paper studies simulative programming in spatial configuration for offices planning based on spatial hierarchies and structural organizations that define and depict the level of spatial depth. The purpose is to develop a design strategy for architects to predict a possible configuration spatiality based on variables of space syntax, which is analyzed by additional plugin tools in grasshopper. There are vital four parameters to analyze in this simulation, such as integration analysis, control analysis, entropy analysis, and choice analysis. The following results, reveals permeability and accessibility patterns, which present the index level of spatial depth to presume a possible spatiality layout plan then leads to suitable zoning for government office masterplan in schematic design planning, especially in Indonesia. Experimenting with this method in predesign process is mainly a tool for designers and could evaluate the configurative space as the design strategy to optimize spatial programming.
The main issue we are after here is space layout planning, space layout planning which examine the capability to better utilization of architecture space, this paper will investigate the potentials of evolutionary computation in solving the combinatorial problem of space layout planning; it will focus on the topological level of problems, topological allocation concern with the relationships between two spaces, i.e. the adjacency and proximity between two spaces.
A variety of heuristic methods and algorithms have been developed for space layout planning problems. Recent efforts to generate furniture layout schemes in existing spatial configurations have mostly relied on exhaustive search and are likely to produce dysfunctional or counter-intuitive solutions. In this paper, we propose a heuristic approach for the automated generation of furniture layout schemes, with specific focus on residential spaces. First, we present an operational definition for furniture entities, space configurations, and space entities. Then we introduce a heuristic algorithm for generating furniture layout schemes based on a set of space subdivision rules, object-object relations, and object-space relations. Using Grasshopper, we generate a group of possible schemes for a sample residential living space. A discussion follows, outlining current limitations, expanding the context of the study, and possibilities for development including the integration of fuzzy logic for inconsistent input datasets.
Automation in Construction, 2020
This paper proposes a methodology for the automated construction of rectangular floorplans (RFPs) while addressing dimensional constraints and adjacency relations. Here, adjacency relations are taken in the form of a dimensionless rectangular arrangement (RA) ensuring the existence of a RFP, while dimensional constraints are given in terms of minimum width and aspect ratio range for each room. A linear optimization model is then presented to obtain a feasible dimensioned RFP for user-defined constraints. A GUI is also developed for the automated generation of RFPs. The proposed model is able to generate feasible solutions for every possible RA in a reasonable amount of time. From the architectural prospective, this work can be seen as a re-generation of well-known architectural plans with modified dimensions. At the end, the regeneration of existing legacy RFPs (corresponding to the user defined dimensions) has been demonstrated, taking their image as input.
Expert Systems with Applications
Spatial layout planning generates two-dimensional layouts consisting of a configuration of rectangles. Our new method represents the rectangles as inconsistent sets of linear constraints. We then select the consistent sets from them by using a second-generation Constraint Logic Programming ( CLP ) language that employs a new search mechanism to handle disjunction efficiently. Because this is an NP-Complete class problem we introduce (1) domain knowledge to obtain feasible results, (2) some global constraints such as qualitative relation and capacity, and (3) a new mechanism that handles multiple disjunctions at the same time. Our approach is now being effectively applied to the layout of homes. In this paper, we use this example to explain our approach and describe our floor planning system, TG-FP/ 2, which can assist the customer by providing feasible plans. We also point out the advantages of our approach using a second-generation CLP language such as a declarative paradigm for easy description and efficiency for avoiding combinatorial explosion.
CAADRIA proceedings
For most of the architectural design problems, there are underlying mathematical sub-problems, they may require to consider for generating architectural layouts. One of these sub-problems is to satisfy adjacency constraints for obtaining an initial layout. But in the literature, there does not exist a mathematical procedure that can address any given adjacency requirements, i.e., there does not exist a tool for generating a floor plan corresponding to any given adjacency (planar) graph (there exist algorithms for constructing floor plans for planar triangulated graphs only). In this paper, we are going to present an algorithm that would generate a floor plan corresponding to any given planar graph. The larger aim of this research is to develop a user-friendly tool that can generate a variety of initial layouts corresponding to a given graph, which can be further modified by the architects/designers.
Blucher Design Proceedings, 2019
This paper proposes a fuzzy-based approach for the automated evaluation of spatial layout configurations. Our objective is to evaluate soft and interdependent design qualities (such as connectedness, enclosure, spaciousness, continuity, adjacency, etc.), to satisfy multiple and mutually inclusive criteria, and to account for all potential and logical solutions without discarding preferable, likely or even less likely possible solutions. Using fuzzyTECH, a fuzzy logic software development tool, we devise all possible spatial relation inputs affecting physical and non-physical outputs for a given space using descriptive rule blocks. We implement this fuzzy logic system on an existing residential space to evaluate different layout alternatives. We define all linguistic input variables, output variables, and fuzzy sets, and present space-space relations using membership functions. We use the resulting database of fuzzy agents to evaluate the design of the existing residential spaces.
The Journal of Space Syntax, 2014
Despite five decades of research into layout automation that have produced a wide variety of methods for automatically solving layout problems, no automated layout programme is used as standard within the architectural profession. Therefore scope still exists to better formulate these methods in terms of their relevance to architects. In a traditional workflow, architects design by generating ideas and testing them in an iterative process through which a solution gradually emerges. The knowledge he or she has from years of training and experience is fed into the project through this design-evaluation loop. By automating the entire process, many explicit criteria can be successfully built into the model and optimised. However, these tools sit outside of the architect’s normal workflow, and the integration of his or her non-quantifiable assumptions during the design process is lost. The Computational Design + Research group (CDR) of Aedas|RD the consequences and implications of both t...
2017
Is it feasible for an algorithm to comprehend the complexity of zone allocation in architectural design? Is it possible to quantify and use traits of existing designs to create new ones? The following thesis explores how existing floorplans can be used to define qualities of spaces and design; as well as how these qualities can help generate future typologies. The objective is to develop a space layout algorithm that understands qualities of spaces such as proportion, area, connectivity, adjacency etc. from existing designs to later apply that knowledge into automatized floorplan generation. This would be achieved by analysing a database of floorplan designs of a particular socioeconomic, cultural, and historic background and then use that knowledge to identify consistent traits which are replicated in automatized generated floorplans. While the majority of previous attempts in computational space layout design have focused on hardcoding rules and qualities defined by a programmer, and then optimize these qualities by a generative algorithm this attempt aims to discover which qualities are consistent in existing floorplans by examining room traits in existing typologies and later on use this information to generate new designs. A method of automatized design that is founded on previous designs may be useful because it can depict many subtle qualities which would be inefficient or impossible to identify manually by a programmer, and furthermore understand more in debt the traits that are intrinsic in a design of a specific context. The results obtained suggest that the designs generated by the algorithm resemble the designs from the databases. Nevertheless, more work could be done to obtain more unique databases.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2018
An important task in the initial stages of most architectural design processes is the design of planar floor plans, that are composed of non-overlapping rooms divided from each other by walls while satisfying given topological and dimensional constraints. The work described in this paper is part of a larger research aimed at developing the mathematical theory for examining the feasibility of given topological constraints and providing a generic floor plan solution for all possible design briefs.In this paper, we mathematically describe universal (or generic) rectangular floor plans with n rooms, that is, the floor plans that topologically contain all possible rectangular floor plans with n rooms. Then, we present a graph-theoretical approach for enumerating generic rectangular floor plans upto nine rooms. At the end, we demonstrate the transformation of generic floor plans into a floor plan corresponding to a given graph.
Ain Shams Engineering Journal, 2015
This paper presents a systematic pathway for the floor plan design when given the shape of required floor plan, the list of spaces, the dimensions of each space and the weighted matrix of required adjacencies between the spaces. The first step is to partition the given shape into say k possible rectangles. Then using the given adjacencies, divide the given spaces into k groups. Next is to construct a rectangular block for each group and at last adjoin all rectangular blocks to have the required floor plan. The obtained rectangular blocks are one of the best arrangement of spaces inside a rectangle from the point of view of connectivity.
Design Studies, 1997
Every floorplan may be regarded as a reflection of the goals and activities of the users as interpreted by the architect. By comparing a wide range of building layouts for similar organizations one may achieve a good understanding of the ways in which goals and values can be expressed in spatial solutions. It offers the opportunity to develop a spatiofunctional typology of design solutions. Postoccupancy evaluations focusing on underlying arguments and user experiences with different design solutions give insight into relevant points of decision, (dis)advantages for use and perception, and (dis)congruencies between spatial systems and social systems. This article demonstrates how an integration of ,comparative floorplan-analysis and postoccupancy evaluation may contribute to more soundly based solutions in programming and architectural design. The relationship between spatial and social configurations is illuminated by an analysis of the floorplans of two schools with different educational systems and the spatial implications of a shift from a medical care concept into a residential care concept in nursing homes. © 1997 Elsevier Science Ltd. 1 Mlchelson, M M~In and his urban environment: ~ sociological approach Addison-Wesley, MA (1970) ELSEVIER B
Journal for Manufacturing Science and Production, 2002
One of the most difficult problems that face researchers experimenting with complex systems in real world applications is the Facility Layout Design Problem. It relies with the design and location of production lines, machinery and equipment, inventory storage and shipping facilities. In this work it is intended to address this problem through the use of Constraint Logic Programming (CLP) technology. The use of Genetic Algorithms (GA) as optimisation technique in CLP environment is also an issue addressed. The approach aims the implementation of genetic algorithm operators following the CLP paradigm.
2010
Layout planning is the primordial design activity that determines the characteristics and performance of a building throughout its lifecycle. Due to its iterative nature, there is a growing interest in the automation of space layout planning to enhance the search for optimum design solutions. The approaches for automation range from constraint/heuristics-based to the application of numerical optimisation algorithms.
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