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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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An Experimental Analysis of Face to Face versus Computer Mediated Communication Channels
TL;DR: Group decision outcomes and processes for groups that use a face-to-face channel of cormnunication and those that utilize computer mediated communication are analyzed and performance of the leader and members are compared with respect to an objective measure of performance, the efficient frontier.
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Evolutionary Tradeoffs between Economy and Effectiveness in Biological Homeostasis Systems
TL;DR: This work used a simple and general model for regulation, known as integral feedback, and showed that best-compromise systems have particular combinations of biochemical parameters that control the response rate and basal level, and found that the optimal systems fall on a curve in parameter space.
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Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems
TL;DR: The results of simulations and the Wilcoxon rank-sum test showed that the MOSFS is able to provide the most promising Pareto front for the problem considering various performance metrics at a 95% confidence level.
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Multi-objective design of team oriented assembly systems
Joseph Bukchin,Michael Masin +1 more
TL;DR: In this article, a design methodology for assembly systems based on teams is presented, where each team is semi-autonomous with well-defined responsibilities, and the problem solving approach focuses on the structure of the product, and is based on assigning work elements to teams according to the product's Bill of Material structure.
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Robust and Stochastically Weighted Multiobjective Optimization Models and Reformulations
Jian Hu,Sanjay Mehrotra +1 more
TL;DR: The multiexpert multicriteria robust weighted sum approach (McRow) introduced in this paper identifies a (robust) Pareto decision that minimizes the worst-case weighted sum of objectives over a given weight region.