We consider a discrete variant of BAT Algorithm, one of the recently-developed metaheuristics imitating the echolocation behaviour of bats to perform global optimization, in order to solve our ecological conservation problem for preserving species and their habitats, defined as a combinatorial optimization problem NP-Hard. Tests are performed on a benchmark, the Oregon terrestrial vertebrate data set composed of 426 species and 441 sites. The results prove the proposed discrete variant of bat algorithm outperforms other methods from the literature.
['M. Daoudi']
Nature search-based approach to solve maximal covering species problem