Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Applications of Genetic Algorithm in Managerial Decision Making
Details
Due to the globalization of economy and continuously increasing competition in every sector of our daily life, the relevance of appropriate decision making regarding the smooth and efficient utilization of the available resources (limited) to overcome the market forces and capture the competitive market has become increasingly crucial in management. Hence the success or failure of an organization depends, to a large extent, on the ability of appropriate decision making. So, the accurate decision-making is the backbone of effective and efficient management. The objectives of this book are (i) to highlight some real life decision making problems in the areas of inventory management, transportation and reliability optimization, (ii) to develop appropriate Genetic Algorithm for solving the said problems with interval objectives with the help of interval mathematics and order relations between interval valued numbers.
Autorentext
A. K. Bhunia: M.Sc. (Appl. Math.) & Ph.D. from Vidyasagar University. Associate Prof., The University of Burdwan, India. Published two books & 70 more research papers. R. K. Gupta : MBA (Systems & Operations Mgmt.) & Ph.D. from The University of Burdwan. Assistant Prof., West Bengal State University, India. Published 6 research papers.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 244g
- Untertitel Transportation, Inventory, Reliability, Interval Environment
- Autor A. K. Bhunia , R. K. Gupta
- Titel Applications of Genetic Algorithm in Managerial Decision Making
- Veröffentlichung 08.09.2011
- ISBN 3845437146
- Format Kartonierter Einband
- EAN 9783845437149
- Jahr 2011
- Größe H220mm x B150mm x T10mm
- Anzahl Seiten 152
- GTIN 09783845437149