Abstract
This work discusses the solution of a Large-scale global optimization problem named Security Constrained Optimal Power Flow (SCOPF) using a method based on Cross Entropy (CE) and Evolutionary Particle Swarm Optimization (EPSO). The obtained solution is compared to the Entropy Enhanced Covariance Matrix Adaptation Evolution Strategy (EE-CMAES) and Shrinking Net Algorithm (SNA). Experiments show the approach reaches competitive results.
| Original language | English |
|---|---|
| Title of host publication | GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 69-70 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450367486 |
| DOIs | |
| Publication status | Published - 13 Jul 2019 |
| Externally published | Yes |
| Event | 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic Duration: 13 Jul 2019 → 17 Jul 2019 |
Publication series
| Name | GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion |
|---|
Conference
| Conference | 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 13/07/19 → 17/07/19 |
Bibliographical note
Publisher Copyright:© 2019 Copyright held by the owner/author(s).
Funding
This work investigated CE+EPSO for solving SCOPF problems. CE+EPSO is single-objective metaheuristic that incorporates some features of evolutionary algorithms, swarm intelligence and cross entropy methods. The results indicated that the CE+EPSO algorithm is an efficient and competitive technique to tackle large-scale problems as SCOPF problem. The experimental results also showed that the proposed approach reached competitive results when compared to the other algorithms considered as state-of-art for solving the proposed test beds. ACKNOWLEDGMENT The authors would like to thank the CAPES, CNPq, FAPEMIG and FAPERJ for financial support. V. Miranda and L. Carvalho acknowledge funding from FCT within project UID/EEA/50014/2019.
| Funders | Funder number |
|---|---|
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
| Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro | |
| Fundação de Amparo à Pesquisa do Estado de Minas Gerais | |
| Fundació Catalana de Trasplantament | UID/EEA/50014/2019 |
Keywords
- CE+EPSO
- LSGO
- SCOPF