Open AccessBook
Multiple Criteria Optimization: Theory, Computation, and Application
Reads0
Chats0
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.read more
Citations
More filters
Journal ArticleDOI
Hierarchical sensitivity analysis of priority used in analytic hierarchy process
TL;DR: In this paper, some useful theorems for the sensitivity analysis of priority that is playing an important role in the analytic hierarchy process are derived from the principle of hierarchical composition which is expressed in the form of a reachability matrix.
Journal ArticleDOI
Portfolio Optimization: New Capabilities and Future Methods
TL;DR: A computer capability that can exactly compute mean-variance efficient frontiers of problems with up to 2,000 securities in very reasonable time is discussed (even if a problem’s covariance matrix is 100% dense).
Journal ArticleDOI
Design under uncertainty of carbon capture and storage infrastructure considering cost, environmental impact, and preference on risk
TL;DR: In this paper, a stochastic decision-making algorithm for the design and operation of a carbon capture and storage (CCS) network is presented, which incorporates the decision-maker's tolerance of risk caused by uncertainties.
Journal ArticleDOI
Achieving low carbon local energy communities in hot climates by exploiting networks synergies in multi energy systems
Gabriele Comodi,Andrea Bartolini,Francesco Carducci,Balamurugan Nagaranjan,Alessandro Romagnoli +4 more
TL;DR: An innovative model for the optimal design of an energy community aiming at lowering its carbon footprint is proposed, modeled as a network of spatially dislocated energy hubs, each with its own demand of electricity, heating and cooling energy.
Proceedings ArticleDOI
Reduction of Heavy Duty Diesel Engine Emission and Fuel Economy with Multi-Objective Genetic Algorithm and Phenomenological Model
TL;DR: A system to perform a parameter search of heavy-duty diesel engines using a multiobjective genetic algorithm (MOGA) and phenomenological model to find the Pareto optimum solutions successfully is proposed.