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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
Citations
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Journal ArticleDOI
A bi-objective reverse logistics network analysis for post-sale service
Feng Du,Gerald W. Evans +1 more
TL;DR: This paper addresses the analysis of reverse logistic networks that deal with the returns requiring repair service, involving a manufacturer outsourcing to a third-party logistics (3PLs) provider for its post-sale services.
Journal ArticleDOI
A concept of the optimal solution of the transportation problem with fuzzy cost coefficients
Stefan Chanas,Dorotoa Kuchta +1 more
TL;DR: A definition of the optimal solution of the transportation problem with fuzzy cost coefficients as well as an algorithm determining this solution are proposed.
Book ChapterDOI
Introduction to Multiobjective Optimization: Noninteractive Approaches
TL;DR: This chapter gives an introduction to nonlinear multiobjective optimization by covering some basic concepts as well as outlines of some methods where the decision maker either is not involved or specifies preference information before or after the actual solution process.
Journal ArticleDOI
Affordances as constraints on the control of stance
TL;DR: It is argued that different ways of controlling stance can have differing utility (affordances) for perception and action, and that the relationship between affordances and constraints on control actions should be investigated using geometrical methods.
Journal ArticleDOI
Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier
TL;DR: The normal constraint method is offered, which is a simple approach for generating Pareto solutions that are evenly distributed in the design space of an arbitrary number of objectives, and its critical distinction is defined, namely, the ability to generate a set of evenly distributed PareTo solutions over the complete Pare to frontier.