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

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

15 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the Stockholm Global Optimization Workshop, STOGO 2025
Sivut	129-132
Sivumäärä	4
Tila	Julkaistu - 2 syysk. 2025
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	Stockholm Global Optimization Workshop 2025 - Kesto: 2 syysk. 2025 → 5 syysk. 2025 https://sites.google.com/view/stogo25/

Työpaja

Työpaja	Stockholm Global Optimization Workshop 2025
Lyhennettä	STOGO
Ajanjakso	02/09/25 → 05/09/25
www-osoite	https://sites.google.com/view/stogo25/

Pääsy asiakirjaan

STOGO2025_SHOTLisenssi: Määrittelemätön

Algorithms and Software for Large-Scale Optimization
Lundell, A. (Vastuullinen tutkija), Björkqvist, J. (CoI), Olama, A. (osallistuja) & Blomqvist, J. (osallistuja)
01/09/23 → 30/06/26
Projekti: Foundation

Viittausmuodot

@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

Abstrakti

Työpaja

Pääsy asiakirjaan

Sormenjälki

Projektit

Algorithms and Software for Large-Scale Optimization

Viittausmuodot