Multi-level Multi-objective Programming under Uncertainty

Mohamed A. El Sayed (u. a.)

ISBN 10: 3330061251 / ISBN 13: 9783330061255

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

Multi-level Multi-objective Programming under Uncertainty | Mohamed A. El Sayed (u. a.) | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330061255 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 108828141

Bibliographic Details

• Title: Multi-level Multi-objective Programming under Uncertainty
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 3330061251
• ISBN 13: 9783330061255
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Hierarchical decision structures are prevalent in government systems, competitive economic organizations, supply chains, agriculture, biofuel production, and so on. The area of multi-level mathematical programming provides the art and science of making such decisions. Several mathematical models for such problems have been exhibited. The fundamental idea of multilevel mathematical programming methodology is that the first-level decision maker (FLDM) decides his/her objectives and/or choices, hence asks each inferior level of the association for their solutions, which obtained individually. The lower level decision makers’ choices are then presented and altered by the FLDM in light of the general advantage for the association.

About the Author

I am a teaching assistant in the department of basic sciences, faculty of engineering, Benha University.This book consist of three papers two papers published with Dr/ Ibrahim A. Baky during studying the master. The third paper prepared during the Phd study under the supervision of prof/ Mohamed S. A. Osman and prof/ Osama E. Emam.