Advances in Multiple Objective and Goal Programming (eBook, PDF)

Proceedings of the Second International Conference on Multi-Objective Programming and Goal Programming, Torremolinos, Spain, May 16-18, 1996
Redaktion: Caballero, Rafael; Steuer, Ralph E.; Ruiz, Francisco

• Format: PDF

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 391
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9783642468544
• Artikelnr.: 53149282

Autorenporträt

Francisco Ruiz is associate professor in the Computer Science Department at the University of Castilla-La Mancha (UCLM) and Vice-Director of the Alarcos Research Group. He has been Dean of the UCLM Computer Science School for seven years and Data Processing Director at the same University for four years. His current research interests include: business process management systems, software process technology and modeling, software maintenance, and software projects planning and managing. Coral Calerois Associate Professor in the Computer Science Department at the University of Castilla-La Mancha (UCLM). Her research interests are: software quality metrics, quality models, web and portal quality, databases and data warehouse quality and software architectures.

Inhaltsangabe

Abraham Charnes Distinguished Lecture.- On the Education of a Multi-Criteria Researcher: A Personal View.- 1: Goal Programming.- An Example of Good Modelling Practice in Goal Programming: Means for Overcoming Incommensurability.- Pattern Classification by Linear Goal Programming and its Applications.- Goal Programming and Heuristic Search.- Goal Programming Model for Evaluating Hospital Service Performance.- An Application of Interactive Multiple Goal Programming on the Warsaw Stock Exchange.- Methodology for an Analysis of Decision Criteria: An Application to Irrigated Farms in Southern Spain.- Socioeconomic Impact Evaluation of the Drought in Irrigated Lands in Southern Spain: A Multicriteria Decision Making Approach.- Goal Programming in Distribution System Design.- Distance Games and Goal Programming Models of Voting Behaviour.- Dynamic Goal Programming Models.- Estimation Through the Imprecise Goal Programming Model.- 2: Multiple Objective Theory.- Characteristics of the Efficient Solutions of Bicriteria and Tricriteria Network Flow Problems.- Non-connected Efficiency Graphs in Multiple Criteria Combinatorial Optimization.- An Augmented Lagrangian Scalarization for Multiple Objective Programming.- Dominance and Efficiency in Multiobjective Stochastic Linear Programming.- A Multi-Criteria Decision Making Problem Associated to Preference Modelling.- On Optimality and Duality in Multiobjective Nonsmooth Programming.- Sensitivity in Multiobjective Programming by Differential Equations Methods. The Case of Homogeneous Functions.- On Pseudo-Boolean Multicriteria Optimization Problems with Incomplete Information.- Properties of Efficient Points Sets and Related Topics.- Existence Theorems for Cone Saddle Points and Vector-Valued Minimax Theorems.- A New Approach to SecondOrder Optimality Conditions in Vector Optimization.- Invex and Pseudoinvex Functions in Multiobjective Programming.- Vector-Values Risk in Multicriteria Problems.- Utopian Efficient Strategies in Multicriteria Matrix Games.- About the Existence of Nash-Slater Equilibrium for a Non-Cooperative Game under Uncertainty.- 3: Implementation and Practice of Multiple Objective Programming.- An Algorithmic Package for the Resolution of Dynamic Multiobjective Problems.- Closest Solutions in Ideal-Point Methods.- Methods of Multicriteria Decision Support Based on Reference Sets.- A Tabu Search Procedure to Solve Multiobjective Combinatorial Optimization Problem.- Linking Production Theory and Multiobjective Fractional Programming as a Support Tool for Animal Diet Formulation.- Multiobjective Energy-Environmental-Economy Model for Israel (ENMIS).- BayRes: A System for Stochastic Multiobjective Reservoir Operations.- Timber Harvesting Scheduling Problems: A Compromise Programming Approach.- Location of Semiobnoxious Facility: A Biobjective Approach.- A Hierarchical Location Model: Biobjective Programming vs FDH.- Efficient Frontier Derived from Opinions and the Utility Optimization Problem.- Finding Efficient Points in Multiobjective Quadratic Programming with Strictly Convex Objective Functions.- Multiobjective Programming with a Concave Vector Value Function.- Modelling Best-Practice Frontiers When There Are Multiple Outputs.