[图书][B] Pyomo-optimization modeling in python
This book describes a tool for mathematical modeling: the Python Optimization Modeling
Objects (Pyomo) software. Pyomo supports the formulation and analysis of mathematical …
Objects (Pyomo) software. Pyomo supports the formulation and analysis of mathematical …
Mixed-integer programming in motion planning
This paper presents a review of past and present results and approaches in the area of
motion planning using MIP (Mixed-integer Programming). Although in the early 2000s MIP …
motion planning using MIP (Mixed-integer Programming). Although in the early 2000s MIP …
A new global solver for transmission expansion planning with AC network model
M Mehrtash, Y Cao - IEEE Transactions on power systems, 2021 - ieeexplore.ieee.org
To design a reliable and secure power system, it is necessary to have enough transmission
capacity. The solution of transmission expansion planning (TEP) problem determines cost …
capacity. The solution of transmission expansion planning (TEP) problem determines cost …
Pyosyn: a new framework for conceptual design modeling and optimization
Q Chen, Y Liu, G Seastream, JD Siirola… - Computers & Chemical …, 2021 - Elsevier
We present Pyosyn, an open-source framework for systematic superstructure-based process
synthesis, including a new representation, superstructure generation approaches, modeling …
synthesis, including a new representation, superstructure generation approaches, modeling …
Designing a reliable electric vehicle charging station expansion under uncertainty
This study proposes a novel disruption prevention model that considers both long-term
expansion decisions and short-term operational decisions to design and manage an electric …
expansion decisions and short-term operational decisions to design and manage an electric …
Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
Multiproduct pipeline transportation scheduling is a complex operations research problem
that is characterized by the movement of the cargo rather than the carrier. Hence, it cannot …
that is characterized by the movement of the cargo rather than the carrier. Hence, it cannot …
Generation of linear-based surrogate models from non-linear functional relationships for use in scheduling formulation
Often functional relationships are well known, but they are too complex to be used efficiently
in optimization problems like scheduling formulations. Hence the functions are often …
in optimization problems like scheduling formulations. Hence the functions are often …
Comparison of mixed-integer relaxations with linear and logarithmic partitioning schemes for quadratically constrained problems
PM Castro, Q Liao, Y Liang - Optimization and Engineering, 2021 - Springer
Piecewise relaxations are powerful techniques to compute strong dual bounds for (mixed-
integer) quadratically constrained problems and provide starting points that can be used by …
integer) quadratically constrained problems and provide starting points that can be used by …
A disjunctive cut strengthening technique for convex MINLP
J Kronqvist, R Misener - Optimization and Engineering, 2021 - Springer
Generating polyhedral outer approximations and solving mixed-integer linear relaxations
remains one of the main approaches for solving convex mixed-integer nonlinear …
remains one of the main approaches for solving convex mixed-integer nonlinear …
Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones
DEB Neira, IE Grossmann - arXiv preprint arXiv:2109.09657, 2021 - arxiv.org
We propose the formulation of convex Generalized Disjunctive Programming (GDP)
problems using conic inequalities leading to conic GDP problems. We then show the …
problems using conic inequalities leading to conic GDP problems. We then show the …