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Multiple Criteria Optimization: Theory, Computation, and Application
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Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.Abstract:
Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach Optimal Weighting Vectors, Scaling and Reduced Feasible Region Methods Vector-Maximum Algorithms Goal Programming Filtering and Set Discretization Multiple Objective Linear Fractional Programming Interactive Procedures Interactive Weighted Tchebycheff Procedure Tchebycheff/Weighted-Sums Implementation Applications Future Directions Index.read more
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A model to support the public administration decisions for the investments selection on historic buildings
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Manipulator motion planning for high-speed robotic laser cutting
Alexandre Dolgui,A. Pashkevich +1 more
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On goal programming formulations of the reference point method
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An interactive group decision aid for multiobjective problems: An empirical assessment
TL;DR: This study reports the results of a laboratory experiment involving the use of an interactive multiobjective group decision aid and the effect of two independent variables on a set of performance measures is investigated.
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A Reference Direction Algorithm for Solving Multiple Objective Integer Linear Programming Problems
TL;DR: A reference direction approach and an interactive algorithm to solve the general multiple objective integer linear programming problem to find an (weak) efficient solution.