An approach to the multi-level space allocation problem in architecture using a hybrid evolutionary technique

A multi-level allocation problem consists in determining the position and size of spaces on several levels according to the user's requirements and constraints. How levels are connected and how vertical circulation objects are treated may limit the practitioner's preferences or reduce the...

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Bibliographic Details
Published in:Automation in construction Vol. 35; pp. 482 - 498
Main Authors: Rodrigues, Eugénio, Gaspar, Adélio Rodrigues, Gomes, Álvaro
Format: Journal Article
Language:English
Published: Kidlington Elsevier B.V 01.11.2013
Elsevier
Subjects:
Algorithms
Allocations
Applied sciences
Architecture
Automation
Buildings
Buildings. Public works
Circulation
Computation methods. Tables. Charts
Construction
Evolutionary
Evolutionary strategy
Exact sciences and technology
External envelopes
Multi-level space allocation problem
Opening. Closure. Circulation (stairs, etc.)
Project management. Process of design
Space allocation
Space planning
Stair and elevator allocation problem
Stochastic hill climbing
Structural analysis. Stresses
User requirements
Space planning
Multi-level space allocation problem
Stochastic hill climbing
Evolutionary strategy
Stair and elevator allocation problem
Architecture
Buildings
Evolutionary algorithm
Project management
Stair
Construction industry
Case study
Opening
Elevator
Space allocation
Problem solving
Hybrid model
Resource management
Mathematical model
ISSN:0926-5805
Online Access:Get full text
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Summary:A multi-level allocation problem consists in determining the position and size of spaces on several levels according to the user's requirements and constraints. How levels are connected and how vertical circulation objects are treated may limit the practitioner's preferences or reduce the number of solutions. Literature review has shown that in the multi-level allocation problem very often stairs and elevators are considered as fixed and rigid objects during the search process and sometimes even neglected. This paper presents an approach to deal with multi-levels based on a hybrid evolutionary technique where stairs and elevators are parametric objects, which interact with other spaces during the search process. Three case studies are presented, where the algorithm is tested on handling large and complex problems, how concurrent vertical circulation objects interact, and how several levels are stacked within a building boundary. The algorithm shows to be capable of generating coherent multi-level floor plans. •An approach to multi-level space allocation problem in architecture is presented.•Stairs and elevators are non-fixed and resizable objects that serve the floor levels.•Three case studies are conducted to demonstrate the algorithm capabilities.
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ISSN:0926-5805
DOI:10.1016/j.autcon.2013.06.005