Iterative non-deterministic algorithms in on-shore wind farm design: A brief survey

Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a va...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Renewable & sustainable energy reviews Ročník 19; s. 370 - 384
Hlavní autoři: Khan, Salman A., Rehman, Shafiqur
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.03.2013
Elsevier
Témata:
algorithms
Applied sciences
Energy
Exact sciences and technology
Genetic algorithms
Iterative heuristics
Natural energy
Optimization methods
surveys
Swarm intelligence
system optimization
Wind energy
Wind farm layout design
Iterative heuristics
Wind farm layout design
Swarm intelligence
Optimization methods
Genetic algorithms
ISSN:1364-0321, 1879-0690
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Wind farm layout design is a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been solved using several optimization techniques. Iterative heuristics are well-known optimization techniques that have been applied to a variety of complex optimization problems. This paper briefly outlines the design issues and constraints involved in the wind farm layout design, computational complexity of the problem, and single-objective and multi-objective aspects of the problem. The main focus of the paper is a brief survey of all iterative non-deterministic algorithms that have been applied to solve the wind farm layout design problem.
Bibliografie:http://dx.doi.org/10.1016/j.rser.2012.11.040
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2012.11.040