Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in the industrial production planning problems. This non-linear membership functio...

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Detalles Bibliográficos
Autor principal: Vasant, Pandian M.
Formato: Articulo Revision
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Hybrid systems
Optimization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9684
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct10-TO1.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9684
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Hybrid systems
Optimization
spellingShingle Ciencias Informáticas
Hybrid systems
Optimization
Vasant, Pandian M.
Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008
topic_facet Ciencias Informáticas
Hybrid systems
Optimization
description In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in the industrial production planning problems. This non-linear membership function is flexible and convenience to the decision makers in their decision making process. Secondly, a nonlinear objective function in the form of cubic function for fuzzy optimization problems is successfully solved by 15 hybrid and non-hybrid optimization techniques from the area of soft computing and classical approaches. Among the 15 techniques, three outstanding techniques are selected based on the percentage of quality solution. An intelligent performance analysis table is tabulated to the convenience of decision makers and implementers to select the niche optimization techniques to apply in real word problem solving approach particularly related to industrial engineering problems.
format Articulo
Revision
author Vasant, Pandian M.
author_facet Vasant, Pandian M.
author_sort Vasant, Pandian M.
title Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008
title_short Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008
title_full Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008
title_fullStr Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008
title_full_unstemmed Hybrid Optimization Techniques for Industrial Production Planning : Ph. D. Thesis, Dec 2008
title_sort hybrid optimization techniques for industrial production planning : ph. d. thesis, dec 2008
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/9684
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct10-TO1.pdf
work_keys_str_mv AT vasantpandianm hybridoptimizationtechniquesforindustrialproductionplanningphdthesisdec2008
bdutipo_str Repositorios
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