WECs position and PTO optimization by hybrid 1+1EA and Nelder Mead search (Sydney)

Renewable Energy optimization group:
https://cs.adelaide.edu.au/~optlog/research/energy.php

Optimization and Logistic research group:
https://cs.adelaide.edu.au/~optlog/

Computer Science Department at Adelaide University
and Mechanical Engineering Department at Adelaide University https://ecms.adelaide.edu.au/mechanical-engineering/our-

Research Title: Optimizing the Wave Energy Converters placements and power take off systems by hybrid 1+1EA and Nelder-Mead simplex direct search (in Sydney Wave Scenario)

Cite as: Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, and Markus Wagner,2019. A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters, In Genetic and Evolutionary Computation Conference (GECCO 19), July 13–17, 2019, Prague, Czech Republic, ACM, New York, NY, USA, 10 pages.
https://arxiv.org/abs/1904.07043

Edited and uploaded by Mehdi Neshat
https://www.adelaide.edu.au/directory/mehdi.neshat

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