Upcoming features in SHOT 2.0

Andreas Lundell; Alireza Olama; Joakim Blomqvist; Johan Ekman; Jan Kronqvist

Upcoming features in SHOT 2.0

Andreas Lundell^*
, Alireza Olama
, Joakim Blomqvist
, Johan Ekman
, Jan Kronqvist

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

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Abstract

The Supporting Hyperplane Optimization Toolkit (SHOT) is an open-source polyhedral approximation-based solver for mixed-integer nonlinear programming (MINLP). In this extended abstract, we present some of the new features of the upcoming SHOT 2.0 release. These include expanded callback support, offering users greater control over the solver, as well as a Python interface facilitating rapid prototyping and easier integration into advanced workflows. Furthermore, support for HiGHS as an mixed-integer programming (MIP) subsolver in SHOT has been added, providing a fast, actively maintained open-source alternative for solving MINLP problems.

Original language	English
Title of host publication	Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025
Pages	129-132
Number of pages	4
Publication status	Published - 2 Sept 2025
MoE publication type	A4 Article in a conference publication
Event	Stockholm Global Optimization Workshop 2025 - Duration: 2 Sept 2025 → 5 Sept 2025 https://sites.google.com/view/stogo25/

Workshop

Workshop	Stockholm Global Optimization Workshop 2025
Abbreviated title	STOGO
Period	02/09/25 → 05/09/25
Internet address	https://sites.google.com/view/stogo25/

Access to Document

STOGO2025_SHOTLicence: Unknown

Algorithms and Software for Large-Scale Optimization
Lundell, A. (Principal Investigator), Björkqvist, J. (Co-Investigator), Olama, A. (Participant) & Blomqvist, J. (Participant)
01/09/23 → 30/06/26
Project: Foundation

Cite this

@inproceedings{ec620734617d4f8987d60d93164b059b,

title = "Upcoming features in SHOT 2.0",

abstract = "The Supporting Hyperplane Optimization Toolkit (SHOT) is an open-source polyhedral approximation-based solver for mixed-integer nonlinear programming (MINLP). In this extended abstract, we present some of the new features of the upcoming SHOT 2.0 release. These include expanded callback support, offering users greater control over the solver, as well as a Python interface facilitating rapid prototyping and easier integration into advanced workflows. Furthermore, support for HiGHS as an mixed-integer programming (MIP) subsolver in SHOT has been added, providing a fast, actively maintained open-source alternative for solving MINLP problems.",

author = "Andreas Lundell and Alireza Olama and Joakim Blomqvist and Johan Ekman and Jan Kronqvist",

note = "Ej publicerad {\"a}nnu; Stockholm Global Optimization Workshop 2025, STOGO ; Conference date: 02-09-2025 Through 05-09-2025",

year = "2025",

month = sep,

day = "2",

language = "English",

pages = "129--132",

booktitle = "Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025",

url = "https://sites.google.com/view/stogo25/",

}

TY - GEN

T1 - Upcoming features in SHOT 2.0

AU - Lundell, Andreas

AU - Olama, Alireza

AU - Blomqvist, Joakim

AU - Ekman, Johan

AU - Kronqvist, Jan

N1 - Ej publicerad ännu

PY - 2025/9/2

Y1 - 2025/9/2

N2 - The Supporting Hyperplane Optimization Toolkit (SHOT) is an open-source polyhedral approximation-based solver for mixed-integer nonlinear programming (MINLP). In this extended abstract, we present some of the new features of the upcoming SHOT 2.0 release. These include expanded callback support, offering users greater control over the solver, as well as a Python interface facilitating rapid prototyping and easier integration into advanced workflows. Furthermore, support for HiGHS as an mixed-integer programming (MIP) subsolver in SHOT has been added, providing a fast, actively maintained open-source alternative for solving MINLP problems.

AB - The Supporting Hyperplane Optimization Toolkit (SHOT) is an open-source polyhedral approximation-based solver for mixed-integer nonlinear programming (MINLP). In this extended abstract, we present some of the new features of the upcoming SHOT 2.0 release. These include expanded callback support, offering users greater control over the solver, as well as a Python interface facilitating rapid prototyping and easier integration into advanced workflows. Furthermore, support for HiGHS as an mixed-integer programming (MIP) subsolver in SHOT has been added, providing a fast, actively maintained open-source alternative for solving MINLP problems.

M3 - Published conference proceeding

SP - 129

EP - 132

BT - Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025

T2 - Stockholm Global Optimization Workshop 2025

Y2 - 2 September 2025 through 5 September 2025

ER -

Upcoming features in SHOT 2.0

Abstract

Workshop

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Projects

Algorithms and Software for Large-Scale Optimization

Cite this