Resolving the optimal selection of a natural reserve using the particle swarm optimisation by applying transfer functions
- Published
- Accepted
- Subject Areas
- Adaptive and Self-Organizing Systems, Algorithms and Analysis of Algorithms, Artificial Intelligence, Autonomous Systems, Optimization Theory and Computation
- Keywords
- Biodiversity conservation, Nature-inspired algorithms, Particle Swarm Optimisation, Metaheuristic
- Copyright
- © 2018 Almonacid
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Resolving the optimal selection of a natural reserve using the particle swarm optimisation by applying transfer functions. PeerJ Preprints 6:e26941v2 https://doi.org/10.7287/peerj.preprints.26941v2
Abstract
The optimal selection of a natural reserve (OSRN) is an optimisation problem with a binary domain. To solve this problem the metaheuristic algorithm Particle Swarm Optimization (PSO) has been chosen. The PSO algorithm has been designed to solve problems in real domains. Therefore, a transfer method has been applied that converts the equations with real domains of the PSO algorithm into binary results that are compatible with the OSRN problem. Four transfer functions have been tested in four case studies to solve the OSRN problem. According to the tests carried out, it is concluded that two of the four transfer functions are apt to solve the problem of optimal selection of a natural reserve.
Author Comment
Changes have been made in the affiliation, added a new reference, correction of spelling errors detected.