Hybrid Optimization for Decision Making in an uncertain Environment

Pandian Vasant

ISBN 10: 3844303383 / ISBN 13: 9783844303384

Editore: LAP LAMBERT Academic Publishing Feb 2011, 2011

Riguardo questo articolo

Neuware -In this book, 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 and intelligent solution methodology using hybrid meta-heuristics optimization techniques in an industrial production planning problems. The novel and innovative hybrid intelliegent such has genetic algorithms, simulated annealing, pattern search and fuzzy logic have been extensively used in this research work. Finally, it is concluded that hybrid optimization techniques are robust, less time-consuming, dependable, high quality solutions and an efficient productive tool for solving the non-linear real world problem in an uncertain industrial engineering environment. The hybrid line search with genetic algorithms and hybrid line search with simulated annealing techniques developed in this study are user friendly, easy-to-use and can serve as a teaching and research tool, besides being useful for practicing scientist, decision makers, managers and researchers in the area of industrial engineering, finance, economics and management science.Books on Demand GmbH, Überseering 33, 22297 Hamburg 244 pp. Englisch.

Codice articolo 9783844303384

Dati bibliografici

• Titolo: Hybrid Optimization for Decision Making in an uncertain Environment
• Editore: LAP LAMBERT Academic Publishing Feb 2011
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 3844303383
• ISBN 13: 9783844303384
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

In this book, 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 and intelligent solution methodology using hybrid meta-heuristics optimization techniques in an industrial production planning problems. The novel and innovative hybrid intelliegent such has genetic algorithms, simulated annealing, pattern search and fuzzy logic have been extensively used in this research work. Finally, it is concluded that hybrid optimization techniques are robust, less time-consuming, dependable, high quality solutions and an efficient productive tool for solving the non-linear real world problem in an uncertain industrial engineering environment. The hybrid line search with genetic algorithms and hybrid line search with simulated annealing techniques developed in this study are user friendly, easy-to-use and can serve as a teaching and research tool, besides being useful for practicing scientist, decision makers, managers and researchers in the area of industrial engineering, finance, economics and management science.

L'autore

Pandian Vasant is a Senior Lecturer of Engineering Mathematics for Electrical & Electronics Engineering Program and Fundamental & Applied Sciences Department at University Technology Petronas in Malaysia. Currently he's a managing editor for Global Journal Technology Optimization and organizing committee member for PCO Global conferences.