Multi-objective harmony search algorithm for layout design in theatre hall acoustics
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Date
2016
Authors
Cemre Cubukcuoglu
Ayca Kirimtat
M. Fatih Tasgetiren
Ponnuthurai Nagaratnam Suganthan
Quanke Pan
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The aim of the research is to find a feasible set of theatre hall design alternatives for two objectives which are the total cost and the reverberation time subject to several constraints. We formulate the problem as a multi-objective realparameter constrained optimization problem. To handle this problem we investigated two different optimization algorithms namely a Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and a multi-objective Harmony Search algorithm (MOHS) in order to gather Pareto front approximation with a set of non-dominated solutions. We demonstrate that the MOHS yields slightly better results than the NSGA-II algorithm. © 2017 Elsevier B.V. All rights reserved.
Description
Keywords
Computational Design, Evolutionary Computation, Multi-objective Optimization, Performance-based Design, Theatre Hall Optimization, Approximation Algorithms, Architectural Acoustics, Calculations, Constrained Optimization, Evolutionary Algorithms, Genetic Algorithms, Learning Algorithms, Multiobjective Optimization, Pareto Principle, Reverberation, Theaters, Computational Design, Constrained Optimi-zation Problems, Design Alternatives, Harmony Search Algorithms, Non Dominated Sorting Genetic Algorithm Ii (nsga Ii), Nondominated Solutions, Optimization Algorithms, Performance Based Design, Optimization, Approximation algorithms, Architectural acoustics, Calculations, Constrained optimization, Evolutionary algorithms, Genetic algorithms, Learning algorithms, Multiobjective optimization, Pareto principle, Reverberation, Theaters, Computational design, Constrained optimi-zation problems, Design alternatives, Harmony search algorithms, Non dominated sorting genetic algorithm ii (NSGA II), Nondominated solutions, Optimization algorithms, Performance based design, Optimization, Evolutionary Computation, Theatre Hall Optimization, Computational Design, Performance-Based Design, Multi-Objective Optimization
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
5
Source
2016 IEEE Congress on Evolutionary Computation CEC 2016
Volume
Issue
Start Page
2280
End Page
2287
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Citations
CrossRef : 2
Scopus : 4
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Mendeley Readers : 12
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