Linear Multiobjective Programming

M. Zeleny

ISBN 10: 354006639X / ISBN 13: 9783540066392

Published by Springer Berlin Heidelberg Feb 1974, 1974

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -1.1. The origin of the multiobjective problem and a short historical review The continuing search for a discovery of theories, tools and c- cepts applicable to decision-making processes has increased the complexity of problems eligible for analytical treatment. One of the more pertinent criticisms of current decision-making theory and practice is directed against the traditional approximation of multiple goal behavior of men and organizations by single, technically-convenient criterion. Reins- tementof the role of human judgment in more realistic, multiple goal se,ttings has been one of the ma~or recent developments in the literature. Consider the following simplified problem. There is a large number of people to be transported daily between two industrial areas and their adjacent residential areas. Given some budgetary and technological c- straints we would like to determine optimal transportation modes as well as the number of units of each to be scheduled for service. What is the optimal solution Are we interested in the cheapest transportation Do we want the fastest, the safest, the cleanest, the most profitable, the most durable There are many criteria which are to be considered: travel times, consumer's cost, construction cost, operating cost, expected fatalities and injuries, probability of delays, etc. 236 pp. Englisch.

Seller Inventory # 9783540066392

Bibliographic Details

• Title: Linear Multiobjective Programming
• Publisher: Springer Berlin Heidelberg Feb 1974
• Publication Date: 1974
• Language: English
• ISBN 10: 354006639X
• ISBN 13: 9783540066392
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

1.1. The origin of the multiobjective problem and a short historical review The continuing search for a discovery of theories, tools and c- cepts applicable to decision-making processes has increased the complexity of problems eligible for analytical treatment. One of the more pertinent criticisms of current decision-making theory and practice is directed against the traditional approximation of multiple goal behavior of men and organizations by single, technically-convenient criterion. Reins- tementof the role of human judgment in more realistic, multiple goal se,ttings has been one of the ma~or recent developments in the literature. Consider the following simplified problem. There is a large number of people to be transported daily between two industrial areas and their adjacent residential areas. Given some budgetary and technological c- straints we would like to determine optimal transportation modes as well as the number of units of each to be scheduled for service. What is the optimal solution? Are we interested in the cheapest transportation? Do we want the fastest, the safest, the cleanest, the most profitable, the most durable? There are many criteria which are to be considered: travel times, consumer's cost, construction cost, operating cost, expected fatalities and injuries, probability of delays, etc.