Results 21 to 30 of about 336,796 (327)

A mixed integer optimization approach for model selection in screening experiments

Journal of QualityTechnology, 2020
After completing the experimental runs of a screening design, the responses under study are analyzed by statistical methods to detect the active effects.
Alan R. Vazquez, E. Schoen, P. Goos
semanticscholar   +1 more source

A Solver for Multiobjective Mixed-Integer Convex and Nonconvex Optimization

Journal of Optimization Theory and Applications, 2023
This paper proposes a general framework for solving multiobjective nonconvex optimization problems, i.e., optimization problems in which multiple objective functions have to be optimized simultaneously.
Gabriele Eichfelder, O. Stein, Leo Warnow   +2 more
semanticscholar   +1 more source

Mixed-integer convex representability [PDF]

, 2019
Motivated by recent advances in solution methods for mixed-integer convex optimization (MICP), we study the fundamental and open question of which sets can be represented exactly as feasible regions of MICP problems.
Lubin, Miles, Vielma, Juan Pablo, Zadik, Ilias   +2 more
core   +2 more sources

GloMIQO: Global mixed-integer quadratic optimizer

Journal of Global Optimization, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Misener, R, Floudas, CA
openaire   +3 more sources

A Framework for Globally Optimizing Mixed-Integer Signomial Programs [PDF]

, 2013
Mixed-integer signomial optimization problems have broad applicability in engineering. Extending the Global Mixed-Integer Quadratic Optimizer, GloMIQO (Misener, Floudas in J. Glob. Optim., 2012. doi:10.1007/s10898-012-9874-7), this manuscript documents a
Floudas, CA, Misener, R
core   +1 more source

Penalty Alternating Direction Methods for Mixed-Integer Optimization: A New View on Feasibility Pumps [PDF]

SIAM Journal on Optimization, 2017
Feasibility pumps are highly effective primal heuristics for mixed-integer linear and nonlinear optimization. However, despite their success in practice there are only a few works considering their theoretical properties.
Björn Geißler, A. Morsi, L. Schewe, Martin Schmidt   +3 more
semanticscholar   +1 more source

Mirror-Descent Methods in Mixed-Integer Convex Optimization [PDF]

, 2012
In this paper, we address the problem of minimizing a convex function f over a convex set, with the extra constraint that some variables must be integer. This problem, even when f is a piecewise linear function, is NP-hard.
A. Conn, A. Nemirovski, F. Eisenbrand, H. Lenstra Jr., J. Viswanathan, J.B. Hiriart-Urruty, L. Khachiyan, M. Duran, M. Grötschel, P. Bonami, R. Fletcher, R. Graham, R. Rockafellar, S. Arora, Y. Nesterov, Y. Nesterov   +15 more
core   +3 more sources

Solving Multiobjective Mixed Integer Convex Optimization Problems [PDF]

SIAM Journal on Optimization, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De Santis, Marianna, Eichfelder, Gabriele, Niebling, Julia, Rocktäschel, Stefan   +3 more
openaire   +2 more sources

On the Complexity of Inverse Mixed Integer Linear Optimization [PDF]

SIAM Journal on Optimization, 2021
Inverse optimization is the problem of determining the values of missing input parameters for an associated forward problem that are closest to given estimates and that will make a given target vector optimal.
A. Bulut, T. Ralphs
semanticscholar   +1 more source

A Modified Jaya Algorithm for Mixed-Variable Optimization Problems

Journal of Intelligent Systems, 2018
Mixed-variable optimization problems consist of the continuous, integer, and discrete variables generally used in various engineering optimization problems.
Singh Prem, Chaudhary Himanshu
doaj   +1 more source