DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS

Ph.D

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Bibliographic Details
Main Author: KHU SOON THIAM
Other Authors: CIVIL ENGINEERING
Format: Theses and Dissertations
Published: 2019
Online Access:https://scholarbank.nus.edu.sg/handle/10635/158275
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Institution: National University of Singapore
id sg-nus-scholar.10635-158275
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spelling sg-nus-scholar.10635-1582752024-04-03T06:40:20Z DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS KHU SOON THIAM CIVIL ENGINEERING LIONG SHIE-YUI Ph.D DOCTOR OF PHILOSOPHY 2019-09-11T06:17:02Z 2019-09-11T06:17:02Z 1999 Thesis KHU SOON THIAM (1999). DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/158275 CCK BATCHLOAD 20190911
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Ph.D
author2 CIVIL ENGINEERING
author_facet CIVIL ENGINEERING
KHU SOON THIAM
format Theses and Dissertations
author KHU SOON THIAM
spellingShingle KHU SOON THIAM
DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS
author_sort KHU SOON THIAM
title DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS
title_short DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS
title_full DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS
title_fullStr DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS
title_full_unstemmed DEVELOPMENT OF PARETO FRONT USING ACCELERATED CONVERGENCE GENETIC ALGORITHM AND NEURAL NETWORKS
title_sort development of pareto front using accelerated convergence genetic algorithm and neural networks
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/158275
_version_ 1795374020571430912