Reproducible automated renewable column generation
نویسندگان
چکیده
منابع مشابه
Column Generation
Column generation is an indispensable tool in computational optimization to solve a mathematical program by iteratively adding the variables of the model. Even though the method is simple in theory there are many algorithmic choices and we discuss the most common ones. Particular emphasis in put on the dual interpretation, relating column generation to Langrangian relaxation and cutting plane a...
متن کاملCalifornia Renewable Generation Integration Analysis
DISCLAIMER This report was prepared as the result of work sponsored by the California Energy Commission. It does not necessarily represent the views of the Energy Commission, its employees or the State of California. The Energy Commission, the State of California, its employees, contractors and subcontractors make no warrant, express or implied, and assume no legal liability for the information...
متن کاملElectrification and Renewable Energy Generation
1Department of Electrical and Electronic Engineering, South University of Science and Technology of China, Shenzhen 518055, China 2Department of Electrical and Computer Engineering, Kettering University, 1700 University Avenue, Flint, MI 48504, USA 3School of Electrical and Information Engineering, Jiangsu University, No. 301, Xuefu Road, Zhenjiang 212013, China 4Shenzhen Institutes of Advanced...
متن کاملColumn Generation with Gams
This document describes an implementation of a Column Generation algorithm using GAMS. The well-known cutting stock problem is used as an example.
متن کاملTwo-stage column generation
We introduce a new concept in column generation for handling complex large scale optimization problems, called two-stage column generation, where columns for the compact and extensive formulation are simultaneously generated. The new framework is specifically conceived for tackling complex problems that cannot be efficiently solved by standard column generation and exploits the relationship bet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Separation Science and Technology
سال: 2019
ISSN: 0149-6395,1520-5754
DOI: 10.1080/01496395.2019.1577439