Linear programing relaxations for a strategic pricing problem in electricity markets-Reference-Cited by-同舟云学术

Linear programing relaxations for a strategic pricing problem in electricity markets

Published:2016-05-03 Issue:1-2 Volume:24 Page:159-172
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Fampa Marcia¹,Pimentel Wagner²

Affiliation:

1. Instituto de Matemática and COPPE; Universidade Federal do Rio de Janeiro; Rio de Janeiro Brasil

2. Centro Federal de Educação Tecnológica Celso Suckow da Fonseca; Rio de Janeiro Brasil

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Reference28 articles.

1. Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming;Anstreicher;Journal of Global Optimization,2009

2. Semidefinite relaxations for quadratically constrained quadratic programming: a review and comparisons;Bao;Mathematical Programming,2011

3. A finite branch-and-bound algorithm for nonconvex quadratic programming via semidefinite relaxations;Burer;Mathematical Programming,2008

4. Strategic design of cost savings guarantee in energy performance contracting under uncertainty;Deng;Applied Energy,2015

5. Dobslaw , F. 2010 A parameter tuning framework for metaheuristics based on design of experiments and artificial neural networks Proceeding of the International Conference on Computer Mathematics and Natural Computing

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