<--- Back to Details
First PageDocument Content
Multi-criteria decision analysis / Kalyanmoy Deb / Goal programming / Knowledge / Decision making / Multi-objective optimization / Applied mathematics / Science / Global optimization / Decision theory / Operations research / Mathematical optimization
Multi-criteria decision analysis
Kalyanmoy Deb
Goal programming
Knowledge
Decision making
Multi-objective optimization
Applied mathematics
Science
Global optimization
Decision theory
Operations research
Mathematical optimization

Add to Reading List

Source URL: dl.dropbox.com

Download Document from Source Website

Share Document on Facebook

Similar Documents

Classroom Voting Questions: Multivariable Calculus 15.2 Optimization 1. Estimate the global maximum and minimum of the functions whose level curves are given below. How many times does each occur?

Classroom Voting Questions: Multivariable Calculus 15.2 Optimization 1. Estimate the global maximum and minimum of the functions whose level curves are given below. How many times does each occur?

DocID: 1vnbq - View Document

Bandits, Global Optimization, Active Learning, and Bayesian RL – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart  Aut

Bandits, Global Optimization, Active Learning, and Bayesian RL – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart Aut

DocID: 1vg3W - View Document

Journal of Global Optimization manuscript No. (will be inserted by the editor) Stabilizer-based symmetry breaking constraints for mathematical programs Leo Liberti · James Ostrowski

Journal of Global Optimization manuscript No. (will be inserted by the editor) Stabilizer-based symmetry breaking constraints for mathematical programs Leo Liberti · James Ostrowski

DocID: 1v0h9 - View Document

Bandits, Global Optimization, Active Learning, and Bayesian RL – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart  Mac

Bandits, Global Optimization, Active Learning, and Bayesian RL – understanding the common ground Marc Toussaint Machine Learning & Robotics Lab – University of Stuttgart Mac

DocID: 1uWH2 - View Document

Global Optimization of a Magnetic Lattice using Genetic Algorithms Lingyun Yang September 3, 2008

Global Optimization of a Magnetic Lattice using Genetic Algorithms Lingyun Yang September 3, 2008

DocID: 1uOee - View Document