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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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From Technocratic to Participatory Decision Support Systems: Responding to the New Governance Initiatives
TL;DR: In this article, the authors examine more than 10 years of developments in decision support systems (DSS) for environmental issues (waste management, water management, land-use planning, etc.) by a research group at the Joint Research Centre.
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An Exact Algorithm for Finding Extreme Supported Nondominated Points of Multiobjective Mixed Integer Programs
Özgür Özpeynirci,Murat Köksalan +1 more
TL;DR: An exact algorithm to find all extreme supported nondominated points of multiobjective mixed integer programs by changing the weights of the objective functions in a systematic way is presented.
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Multi-objective integer programming: An improved recursive algorithm
TL;DR: An improved recursive algorithm to generate the set of all nondominated objective vectors for the Multi-Objective Integer Programming (MOIP) problem is introduced and the improvement becomes more significant as the problems grow larger in terms of the number of objectives.
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Integrated stochastic optimization approaches for tactical scheduling of trains and railway infrastructure maintenance
TL;DR: The experiments show that forcing the routing stability reduces the routing flexibility and the ability to optimize the two performance indicators when dealing with stochastic disturbances.
Journal ArticleDOI
Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selection
TL;DR: A multiobjective binary integer programming model for R&D project portfolio selection with competing objectives is developed when problem coefficients in both objective functions and constraints are uncertain.