Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Mendes, JM (Autor) Outra; Oliveira, PM (Autor) Outra; Filipe Neves Santos (Autor) FEUP; dos Santos, RM (Autor) Outra

Ata de Conferência Internacional

Título: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Páginas: 167-179

19th EPIA Conference on Artificial Intelligence, EPIA 2019

3 September 2019 through 6 September 2019

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 13 Citações

Outras Informações

ID Authenticus: P-00R-02P

DOI: 10.1007/978-3-030-30241-2_15

Abstract (EN): Nature inspired metaheuristics algorithms have been the target of several studies in the most varied scientific areas due to their high efficiency in solving real world problems. This is also the case of agriculture. Among the most well-established nature inspired metaheuristics the ones selected to be addressed in this work are the following: genetic algorithms, differential evolution, simulated annealing, harmony search, particle swarm optimization, ant colony optimization, firefly algorithm and bat algorithm. For each of them, the mechanism that inspired it and a brief description of its operation is presented, followed by a review of their most relevant agricultural applications. © Springer Nature Switzerland AG 2019.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13