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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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Global optimization of an accelerator lattice using multiobjective genetic algorithms

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Designing a benthic monitoring programme with multiple conflicting objectives

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VIS: An artificial immune network for multi-objective optimization

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TL;DR: A priority based fuzzy goal programming approach for solving a multiobjective transportation problem with fuzzy coefficients, thereby obtaining the most satisficing decision for the decision-making unit by minimizing their regrets of achieving the ideal point dependent decision in the Decision-making context.