Large Wave farm placement optimization using binary Genetic Algorithm (bGA)

Renewable Energy optimization group:

Optimization and Logistic research group:

Computer Science Department and Mechanical Engineering Department
At the University of Adelaide

Title: Large Wave farm placement optimisation using binary Genetic Algorithm (bGA)
Cite as: Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, and Markus Wagner, 2020. Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework, In Genetic and Evolutionary Computation Conference (GECCO 20), July 8–12, 2020, ACM, New York, NY, USA, 10 pages.
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** Best Paper Nomination in the RWA Track. **
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Edited and uploaded by Mehdi Neshat

The binary Genetic Algorithm (bGA) is proposed by: Chris Sharp and Bryony DuPont. Wave energy converter array optimization: A genetic algorithm approach and minimum separation distance study. Ocean Engineering, 163:148–156, 2018