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Multiple Criteria Optimization: Theory, Computation, and Application

R. S. Laundy
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TLDR
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.

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Citations
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Ordinal judgments in multiattribute decision analysis

TL;DR: Simulation results show that ordinal pairwise comparisons provide sufficient power to discriminate between 75% and 80% of the alternatives compared, and the method is relatively insensitive to the number of alternatives considered.
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Selection of optimal countermeasure portfolio in IT security planning

TL;DR: This paper deals with the optimal selection of countermeasures in IT security planning to prevent or mitigate cyber-threats and a mixed integer programming approach is proposed for the decision making.
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The Methodology of Multiple Criteria Decision Making/Aiding in Public Transportation

TL;DR: A methodological overview of the application of MCDM/A in public transportation can be found in this article, where major features and basic notions of multiple criteria decision making/A methodology are presented.
Proceedings ArticleDOI

Interactive MOEA/D for multi-objective decision making

TL;DR: iMOEA/D can handle the preference information very well and successfully converge to the expected preferred regions and is tested on some benchmark problems, and various utility functions are used to simulate the DM's responses.
Journal ArticleDOI

Multi-objective optimal design of inerter-based vibration absorbers for earthquake protection of multi-storey building structures

TL;DR: A multi-objective IVA design approach is developed to identify the compromise between the competing objectives of suppressing earthquake-induced vibrations in buildings, and avoiding development of excessive IVA (control) forces, while, simultaneously, assessing the appropriateness of different modeling assumptions for practical design of IVAs for earthquake engineering applications.