Review of nature and biologically inspired metaheuristics for greenhouse environment control

A significant number of search and optimisation techniques whose principles seek inspiration from nature and biology phenomena have been proposed in the last decades. These methods have been successfully applied to solve a wide range of engineering problems. This is also the case of greenhouse envir...

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Bibliographic Details
Published in:Transactions of the Institute of Measurement and Control 2020-08, Vol.42 (12), p.2338-2358
Main Authors: Oliveira, Paulo Moura, Solteiro Pires, EJ, Boaventura-Cunha, José, Pinho, Tatiana Martins
Format: Article
Language:English
Subjects:
Biomimetics
Computer simulation
Evolutionary algorithms
Evolutionary computation
Genetic algorithms
Particle swarm optimization
Principles
Simulated annealing
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Summary:A significant number of search and optimisation techniques whose principles seek inspiration from nature and biology phenomena have been proposed in the last decades. These methods have been successfully applied to solve a wide range of engineering problems. This is also the case of greenhouse environment control, which has been incorporating this type of techniques into its design. This paper addresses evolutionary and bio-inspired methods in the context of greenhouse environment control. Algorithm principles for reference techniques are reviewed, namely: simulated annealing, genetic algorithm, differential evolution and particle swarm optimisation. The last three techniques are considered using single and multiple objective formulations. A review of these algorithms within greenhouse environment control applications is presented, considering single and multiple objective problems, as well as their current trends.
ISSN:0142-3312
1477-0369
DOI:10.1177/0142331220909010