Colliding bodies optimization: A novel meta-heuristic method

•A new meta-heuristic algorithm is presented, so-called Colliding Bodies Optimization (CBO).•This algorithm is based on one-dimensional collisions between bodies.•The parameter independency is superior characteristics of the CBO algorithm.•The proposed algorithm is very competitive with other state-...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Computers & structures Ročník 139; s. 18 - 27
Hlavní autoři: Kaveh, A., Mahdavi, V.R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 15.07.2014
Témata:
Algorithms
Colliding bodies optimization
Collisions
Computer simulation
Heuristic methods
Mathematical analysis
Mathematical models
Meta-heuristic algorithm
Optimal design
Optimization
Searching
Colliding bodies optimization
Meta-heuristic algorithm
Optimal design
ISSN:0045-7949, 1879-2243
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:•A new meta-heuristic algorithm is presented, so-called Colliding Bodies Optimization (CBO).•This algorithm is based on one-dimensional collisions between bodies.•The parameter independency is superior characteristics of the CBO algorithm.•The proposed algorithm is very competitive with other state-of-the-art meta-heuristic methods. This paper presents a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO). This algorithm is based on one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass. After a collision of two moving bodies having specified masses and velocities, these bodies are separated with new velocities. This collision causes the agents to move toward better positions in the search space. CBO utilizes simple formulation to find minimum or maximum of functions and does not depend on any internal parameter. Numerical results show that CBO is competitive with other meta-heuristics.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0045-7949
1879-2243
DOI:10.1016/j.compstruc.2014.04.005