Multi-objective optimization with convex quadratic cost functions: A multi-parametric programming approach Academic Article

abstract

• 2015 Elsevier Ltd. In this note we present an approximate algorithm for the explicit calculation of the Pareto front for multi-objective optimization problems featuring convex quadratic cost functions and linear constraints based on multi-parametric programming and employing a set of suitable overestimators with tunable suboptimality. A numerical example as well as a small computational study highlight the features of the novel algorithm.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Oberdieck, R., & Pistikopoulos, E. N.

citation count

• 22

complete list of authors

• Oberdieck, Richard||Pistikopoulos, Efstratios N

publication date

• February 2016

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Explicit Pareto Front Calculation
• Multi-objective Optimization
• Multi-parametric Programming

Digital Object Identifier (DOI)

• 10.1016/j.compchemeng.2015.10.011

start page

• 36

end page

• 39

volume

• 85

URL

• http://dx.doi.org/10.1016/j.compchemeng.2015.10.011