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pro vyhledávání: '"Silvia Nastase"'
Autor:
Sanda-Carmen Georgescu, Ionut Stelian Grecu, Eliza Isabela Tica, Catalin-Gabriel Andrei, Angela Neagoe, Silvia Nastase
Publikováno v:
2019 International Conference on ENERGY and ENVIRONMENT (CIEM).
The computational efficiency of various nature-inspired algorithms is compared here for a specific hydropower optimization problem, selected as test-case due to its accurate reference solution yielded by the Newton-Raphson method. The above test-case
Publikováno v:
2017 International Conference on ENERGY and ENVIRONMENT (CIEM).
A simple hydropower optimization problem is used to compare the computational efficiency of the Honey Bees Mating Optimization Algorithm (HBMOA), with the efficiency of other evolutionary algorithms, namely 3 recent ones: firefly algorithm, cuckoo se