Results 31 to 40 of about 9,060 (260)

Blocking Orthogonal Designs With Mixed Integer Linear Programming [PDF]

Technometrics, 2014
We present a mixed integer linear programming approach to orthogonally block two-level, multilevel, and mixed-level orthogonal designs. The approach involves an exact optimization technique which guarantees an optimal solution. It can be applied to many problems where combinatorial methods for blocking orthogonal designs cannot be used.
Bagus Sartono, Eric D. Schoen, Peter Goos   +2 more
openaire   +3 more sources

Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains

Journal of Advanced Transportation, 2023
Automatic heavy-haul train (HHT) operation technology has recently received considerable attention in the field of rail transportation. In this paper, a discrete-time-based mathematical formulation is proposed to address the speed profile optimization ...
Huazhen Yu, Yihui Wang, Andrea D’Ariano, Anzheng Lai, Youneng Huang   +4 more
doaj   +1 more source

Optimizing Dynamic Evacuation Using Mixed-Integer Linear Programming

Mathematics
This study presents a new approach to optimize the dynamic evacuation process through a dynamic traffic assignment model formulated using mixed-integer linear programming (MILP).
Hamoud Bin Obaid, Theodore B. Trafalis, Mastoor M. Abushaega, Abdulhadi Altherwi, Ahmed Hamzi   +4 more
doaj   +1 more source

Exact solution approaches for the workload smoothing in assembly lines

Engineering Science and Technology, an International Journal, 2021
In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer
Derya Dinler, Mustafa Kemal Tural
doaj   +1 more source

Production Optimization in a Grain Facility through Mixed-Integer Linear Programming

Applied Sciences, 2022
This article introduces a Mixed-Integer Linear Programming model for cost optimization in multi-product multi-line production scheduling. This model considers discrete time windows and includes realistic constraints. The NP completeness of the problem is
Gabriel Bayá, Eduardo Canale, Sergio Nesmachnow, Franco Robledo, Pablo Sartor   +4 more
doaj   +1 more source

Combinatorial Benders' Cuts for Mixed-Integer Linear Programming [PDF]

Operations Research, 2006
Mixed-integer programs (MIPs) involving logical implications modeled through big-M coefficients are notoriously among the hardest to solve. In this paper, we propose and analyze computationally an automatic problem reformulation of quite general applicability, aimed at removing the model dependency on the big-M coefficients.
CODATO G, FISCHETTI, MATTEO
openaire   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming

IEEE Access, 2022
This paper introduces $\Delta $ -MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA’s Deep Space Network (DSN) scheduling problem. This work is an extension of our original MILP framework (
Thomas Claudet, Ryan Alimo, Edwin Goh, Mark D. Johnston, Ramtin Madani, Brian Wilson   +5 more
doaj   +1 more source

On the interplay of Mixed Integer Linear, Mixed Integer Nonlinear and Constraint Programming [PDF]

, 2016
In this thesis we study selected topics in the field of Mixed Integer Programming (MIP), in particular Mixed Integer Linear and Nonlinear Programming (MI(N)LP). We set a focus on the influences of Constraint Programming (CP). First, we analyze Mathematical Programming approaches to water network optimization, a set of challenging optimization ...
openaire   +2 more sources

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source