Advances in Multiple Objective and Goal Programming

Introduction.- Abraham Charnes Distinguished Lecture: On the Education of a Multi-Criteria Researcher: A Personal View.- 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.- 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 the Preference Modelling; On Optimality and Duality in Multiobjective Nonsmooth Programming; Sensitivity in Multiobjective Programming by Differential Equations Methods. The Case of Homogeneous Functions; On the Pseudo-Boolean Multicriteria Optimization Problem 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 Second Order Optimality Conditions in Vector Optimization; Invex and Pseudoinvex Functions in Multiobjective Programming; Vector-Valued 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.- 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 the Multiobjective Cominatorial 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: Bioobjective Programming versus 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-Practicse Frontiers When There Are Multiple Outputs.