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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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Journal Article
A Geometric Approach to Multi-Criterion Reinforcement Learning
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An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming
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A Branch and Bound Algorithm for a Class of Biobjective Mixed Integer Programs
TL;DR: A new branch and bound method is proposed for solving a subclass of MOMIP problems, where only two objectives are allowed, the integer variables are binary, and one of the two objectives has only integer variables.
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On the computational efficiency of multiple objective metaheuristics. The knapsack problem case study
TL;DR: The results indicate that computational efficiency of multiple objective EAs deteriorates with the growth of the number of objectives and significant differences in the performance of the three algorithms are observed.