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Overview on mixed integer nonlinear programming problems [PDF]
AIP Conference Proceedings, 2009 Many optimization problems involve integer and continuous variables that can be modeled as mixed integer nonlinear programming (MINLP) problems. This has led to a wide range of applications, in particular in some engineering areas.
Ch. Tsitouras +5 more
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Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming [PDF]
Scientific Reports, 2022 In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited.
Tadashi Kadowaki, Mitsuru Ambai
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Optimal Biocompatible Solvent Design by Mixed-integer Hybrid Differential Evolution [PDF]
Bioautomation, 2008 In this study, a flexible optimization approach is introduced to design an optimal biocompatible solvent for an extractive fermentation process with cell-recycling.
Hou-Chieh Cheng, Feng-Sheng Wang
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An application of Markowitz theorem on Tehran Stock Exchange [PDF]
Management Science Letters, 2014 During the past 65 years, there have been tremendous efforts on portfolio selection problem. The standard Markowitz mean–variance model to portfolio selection includes tracing out an efficient frontier, a continuous curve demonstrating the tradeoff ...
Hassan Ghodrati, Mohammad Abbasi
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An algorithmic framework for convex mixed integer nonlinear programs
Discrete Optimization, 2008 This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed integer linear programming and nonlinear programming, have seen considerable and ...
Pierre Bonami +2 more
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Port Call Optimization at a Ferry Terminal with Stochastic Servicing Time and Additional Visits
Journal of Marine Science and Engineering, 2023 Ferry shipping is an indispensable method of public transportation, especially in areas with well-developed river systems or coastal areas. The increasing demand for transport requires additional visits and introduces the problem of ship visit schedule ...
Jingwen Qi +3 more
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Mathematics, 2021 This paper considers the fast and effective solving method for the unit commitment (UC) problem with wind curtailment and pollutant emission in power systems.
Xiali Pang +3 more
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Mathematics, 2022 Techniques and methods of linear optimization underwent a significant improvement in the 20th century which led to the development of reliable mixed integer linear programming (MILP) solvers. It would be useful if these solvers could handle mixed integer
Loay Alkhalifa, Hans Mittelmann
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Optimal operation method for load restoration of distribution networks under disturbance scenario
Energy Reports, 2022 Extreme events can cause damages to transmission system equipment, resulting in a major power outage. In disturbance scenario, local distributed energy resources (DERs) and switches can be fully utilized to restore power loads, which is critical for ...
Tao Zhang +5 more
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Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints
IEEE Access, 2020 It has been demonstrated that network topology optimization (NTO) may change the topology of power system networks, and consequently, provide additional flexibility to reduce network congestion and violations.
Byungkwon Park, Christopher L. Demarco
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