Result: Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective floor plan optimisation

Title:
Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective floor plan optimisation
Authors:
MELIKE BRINTRUP, Alexandra, TAKAGI, Hideyuki, RAMSDEN, Jeremy
Source:
Applications of evolutionary computing (EvoWorkshops 2006)Lecture notes in computer science. :586-598
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 10 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Bioinformatics, Bioinformatique, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Genie mecanique. Construction mecanique, Mechanical engineering. Machine design, Généralités, General, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme parallèle, Parallel algorithm, Algoritmo paralelo, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Analyse objective, Objective analysis, Análisis objetivos, Conception ingénierie, Engineering design, Concepción ingeniería, Ingénierie système, Systems engineering, Optimisation, Optimization, Optimización, Plan masse, Layout plan, Plano masa, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Préférence, Preference, Preferencia
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Industrial and Manufacturing Science, Cranfield University, Bedfordshire, MK43 0AL, United Kingdom
Faculty of Design, Kyushu University, 4-9-1, Shiobaru, Minami-ku, Fukuoka, 815-8540, Japan
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19131294
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Mechanical engineering. Mechanical construction. Handling
Accession Number:
edscal.19131294
Database:
PASCAL Archive

Further Information

We propose a sequential IGA, multi-objective IGA and parallel interactive genetic algorithm (IGA), and evaluate them with a multi-objective floor planning task through both simulation and real IGA users. Combining human evaluation with an optimization system for engineering design enables us to embed domain specific knowledge which is frequently hard to describe, subjective criteria and preferences in engineering design. We introduce IGA technique to extend previous approaches with sequential single objective GA and multi-objective GA. We also introduce parallel IGA newly. Experimental results show that (1) the multi-objective IGA and the parallel IGA clearly provide better results than the sequential IGA, and (2) the multi-objective IGA provides more diverse results and faster convergence for a floor planning task although the parallel IGA provides better fitness convergence.