Results 261 to 270 of about 336,796 (327)

Mixed-Integer Dynamic Optimization

Computers & Chemical Engineering, 1997
A rigorous decomposition approach is presented for mixed-integer dynamic optimization problems. The approach combines dynamic optimization with insight based targeting techniques to decompose the optimization into subproblems providing rigorous upper and lower bounds on the objective.
R.J. Allgor, P.I. Barton
openaire   +2 more sources

Tri-Level Mixed-Integer Optimization for Two-Stage Microgrid Dispatch With Multi-Uncertainties

IEEE Transactions on Power Systems, 2020
To meet the diverse operational requirements of microgrids with multi-uncertainties, a tri-level two-stage mixed-integer robust optimization model is proposed to solve the optimal scheduling problem with source-load power and unit N-1 uncertainties.
Haifeng Qiu, W. Gu, Yinliang Xu, Wenwu Yu, Guangsheng Pan, Pengxiang Liu   +5 more
semanticscholar   +1 more source

MINTO, a mixed INTeger optimizer

Operations Research Letters, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nemhauser, George L., Savelsbergh, Martin W. P., Sigismondi, Gabriele C.   +2 more
openaire   +2 more sources

Mixed-integer nonlinear optimization

Acta Numerica, 2013
Many optimal decision problems in scientific, engineering, and public sector applications involve both discrete decisions and nonlinear system dynamics that affect the quality of the final design or plan. These decision problems lead to mixed-integer nonlinear programming (MINLP) problems that combine the combinatorial difficulty of optimizing over ...
Belotti, Pietro, Kirches, Christian, Leyffer, Sven, Linderoth, Jeff, Luedtke, James, Mahajan, Ashutosh   +5 more
openaire   +2 more sources

Data-Driven Identification of Characteristic Real-Driving Cycles Based on k-Means Clustering and Mixed-Integer Optimization

IEEE Transactions on Vehicular Technology, 2020
Virtual powertrain analysis is widely applied in the automotive industry to cope with the increasing complexity and variance of future vehicle propulsion technologies.
Daniel Förster, R. Inderka, F. Gauterin
semanticscholar   +1 more source

Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach

IEEE transactions on intelligent transportation systems (Print), 2022
This paper proposes a trajectory optimization approach for high-speed trains to reduce traction energy consumption and increase riding comfort. Besides, the proposed approach can also achieve energy-saving effects by optimizing the operation time between
Yuan Cao, Zixuan Zhang, Fanglin Cheng, S. Su   +3 more
semanticscholar   +1 more source

On Mixed Integer Nonsmooth Optimization

2020
In this chapter we review some deterministic solution methods for convex mixed integer nonsmooth optimization problems. The methods are branch and bound, outer approximation, extended cutting plane, extended supporting hyperplane and extended level bundle method.
Westerlund Karl, Mäkelä Marko, Eronen Ville-Pekka, Westerlund Tapio   +3 more
openaire   +1 more source

Design of KAIST HOUND, a Quadruped Robot Platform for Fast and Efficient Locomotion with Mixed-Integer Nonlinear Optimization of a Gear Train

IEEE International Conference on Robotics and Automation, 2022
This paper introduces a design method for an efficient and agile quadruped robot. A mixed-integer optimization formulation including the number of gear teeth is derived to obtain the optimal gear ratio that minimizes cost for a running-trot with the ...
Young-Ha Shin, Seungwoo Hong, S. Woo, Jonghun Choe, Harim Son, Gijeong Kim, Joon-ha Kim, K. Lee, Jemin Hwangbo, Hae-won Park   +9 more
semanticscholar   +1 more source

A Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization

Springer Optimization and Its Applications, 2021
We introduce a unified framework for the study of multilevel mixed integer linear optimization problems and multistage stochastic mixed integer linear optimization problems with recourse.
Suresh Bolusani, Stefano Coniglio, T. Ralphs, Sahar Tahernejad   +3 more
semanticscholar   +1 more source

Mixed-integer optimization of distillation sequences with Aspen Plus: A practical approach

Computers and Chemical Engineering, 2019
A modified Generalized Benders Decomposition (mGBD) algorithm for the mixed-integer nonlinear problem (MINLP) optimization of distillation processes is presented and applied to the optimization of an extractive distillation process in Aspen Plus.
M. Franke
semanticscholar   +1 more source