Community detection in power grids by an evolutionary method-Reference-Cited by-同舟云学术

Community detection in power grids by an evolutionary method

Published:2017-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Guerrero Manuel¹,Gil Consolación¹,Montoya Francisco G.¹,Alcayde Alfredo¹,Bańos Raúl¹

Affiliation:

1. University of Almería, Almería (Spain)

Funder

Spanish Ministry of Economy and Competitiveness

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3067695.3075606

Reference14 articles.

1. Giuliano Andrea Pagani and Marco Aiello. 2013. The Power Grid as a complex network: A survey. Physica A: Statistical Mechanics and its Applications 392 11 (2013) 2688fi?!2700. Giuliano Andrea Pagani and Marco Aiello. 2013. The Power Grid as a complex network: A survey. Physica A: Statistical Mechanics and its Applications 392 11 (2013) 2688fi?!2700.

2. A new multi-objective evolutionary framework for community mining in dynamic social networks

3. Saoud Bilal and Moussaoui Abdelouahab. 2017. Evolutionary Algorithm and Modularity for Detecting Communities in Networks. Physica A: Statistical Mechanics and its Applications 473 (2017) 89--96. Saoud Bilal and Moussaoui Abdelouahab. 2017. Evolutionary Algorithm and Modularity for Detecting Communities in Networks. Physica A: Statistical Mechanics and its Applications 473 (2017) 89--96.

4. Discrete particle swarm optimization for identifying community structures in signed social networks

5. Performance Improvement of Edge Expansion Technique for BDD-based Network Reliability Analysis

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