Cuckoo search algorithm for the selection of optimal machining parameters in milling operations

In this research, a new optimization algorithm, called the cuckoo search algorithm (CS) algorithm, is introduced for solving manufacturing optimization problems. This research is the first application of the CS to the optimization of machining parameters in the literature. In order to demonstrate th...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2013-01, Vol.64 (1-4), p.55-61
Main Author: Yildiz, Ali R.
Format: Article
Language:English
Subjects:
Algorithms
Ant colony optimization
CAE) and Design
Computer-Aided Engineering (CAD
Engineering
Genetic algorithms
Industrial and Production Engineering
Mechanical Engineering
Media Management
Milling (machining)
Optimization techniques
Original Article
Process parameters
Recommender systems
Search algorithms
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Summary:In this research, a new optimization algorithm, called the cuckoo search algorithm (CS) algorithm, is introduced for solving manufacturing optimization problems. This research is the first application of the CS to the optimization of machining parameters in the literature. In order to demonstrate the effectiveness of the CS, a milling optimization problem was solved and the results were compared with those obtained using other well-known optimization techniques like, ant colony algorithm, immune algorithm, hybrid immune algorithm, hybrid particle swarm algorithm, genetic algorithm, feasible direction method, and handbook recommendation. The results demonstrate that the CS is a very effective and robust approach for the optimization of machining optimization problems.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-012-4013-7