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A novel particle swarm optimization approach for product design and manufacturing
- Source :
- The International Journal of Advanced Manufacturing Technology. 40:617-628
- Publication Year :
- 2008
- Publisher :
- Springer Science and Business Media LLC, 2008.
-
Abstract
- This paper presents a novel optimization approach that is a new hybrid optimization approach based on the particle swarm optimization algorithm and receptor editing property of immune system. The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas. A single-objective test problem, tension spring problem, pressure vessel design optimization problem taken from the literature and two case studies for multi-pass turning operations are solved by the proposed new hybrid approach to evaluate performance of the approach. The results obtained by the proposed approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and integration of simulated annealing and Hooke-Jeeves pattern search.
- Subjects :
- Optimization
Engineering
Mathematical optimization
Receptor editing
Design
Turning
Optimization problem
Meta-optimization
Design optimization
Learning algorithms
Automation & control systems
Simulated annealing
Industrial and Manufacturing Engineering
Engineering optimization
Machining
Chatter
Multipass turning operations
Derivative-free optimization
Multi-pass turning
Multi-swarm optimization
Metaheuristic
Continuous optimization
Parameter selection
business.industry
Mechanical Engineering
Probabilistic-based design optimization
Search
Hybrid approach
Industrial research
Product design
Computer Science Applications
Engineering, manufacturing
Genetic algorithm
Particle swarm algorithm
Control and Systems Engineering
Particle swarm optimization (PSO)
business
Algorithms
Software
Subjects
Details
- ISSN :
- 14333015 and 02683768
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- The International Journal of Advanced Manufacturing Technology
- Accession number :
- edsair.doi.dedup.....9defc08acafcb6e998ba0a56ba2b24be