A Self-Adaptable Distributed Evolutionary Algorithm to Tackle Space Planning Problems

Bonnaire, Xavier; Rojas, María Cristina Riff

doi:10.1007/3-540-48051-x_40

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Area assignment: where the problem is modeled as a quadratic assignment problem in which a number of department unit areas must be assigned to an equal or larger building area. The methods used were Genetic Algorithms (GA) [3,4,10,11,13,31,32,41] and Genetic Programming (GP) [12]. They usually work on a less detailed scale of space planning.…”

Section: Introductionmentioning

confidence: 99%

An evolutionary strategy enhanced with a local search technique for the space allocation problem in architecture, Part 1: Methodology

Rodrigues

Gaspar

Gomes

2013

Computer-Aided Design

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • A new hybrid evolutionary computation methodology and mathematical model are presented. • The algorithm is tested in its validation and performance. • The proposed technique generates floor plans to be used in the early architectural design stage.

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