A splitting algorithm for simulation-based optimization problems with categorical variables-Reference-Cited by-同舟云学术

A splitting algorithm for simulation-based optimization problems with categorical variables

Published:2018-07-30 Issue:5 Volume:51 Page:815-831
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Nedělková Zuzana¹^ORCID,Cromvik Christoffer²^ORCID,Lindroth Peter³^ORCID,Patriksson Michael¹^ORCID,Strömberg Ann-Brith¹^ORCID

Affiliation:

1. Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden

2. Fraunhofer–Chalmers Research Centre for Industrial Mathematics, Computational Engineering and Design, Gothenburg, Sweden

3. Chassis & Vehicle Dynamics, Global Operations, Volvo Group Trucks Technology, Gothenburg, Sweden

Funder

Swedish Energy Agency

Chalmers University of Technology

Volvo Group Trucks Technology

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2018.1495716

Reference44 articles.

1. Modeling without categorical variables: a mixed-integer nonlinear program for the optimization of thermal insulation systems

2. SIMULATED ANNEALING AND PARALLEL PROCESSING: AN IMPLEMENTATION FOR CONSTRAINED GLOBAL DESIGN OPTIMIZATION

3. A Pattern Search Filter Method for Nonlinear Programming without Derivatives

4. Mesh Adaptive Direct Search Algorithms for Constrained Optimization

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