An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry

Autor: Ali Rıza Yıldız
Přispěvatelé: Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü., Yıldız, Ali Rıza, F-7426-2011
Rok vydání: 2009
Předmět:
System
Engineering
Turning
Optimization problem
Industrial and Manufacturing Engineering
Shape optimization
Multipass turning operations
Hill-climbing
Hybrid method
Local search algorithms
Local search (optimization)
Multi-pass turning
Multi-swarm optimization
Bench-mark problems
Hill-climbing optimizations
Multi-pass turning operations
Immune algorithm
Machining parameters
Metals and Alloys
Materials science
multidisciplinary
Computer Science Applications
Benchmarking
Genetic algorithm
Modeling and Simulation
Hybrid sensors
Optimization approaches
Mathematical optimization
Meta-optimization
Iterated local search
Solution qualities
Hill climbing algorithms
Convergence rates
Learning algorithms
Multi objectives
Shape designs
Machining
Chatter
Derivative-free optimization
Metaheuristic
business.industry
Materials science
Engineering
manufacturing
Parameter values
Real-world optimizations
Hybrid algorithms
Ceramics and Composites
Engineering
industrial
Brakes
business
Hill climbing
Optimization problems
Disc-brake
Local minimums
Zdroj: Journal of Materials Processing Technology. 209:2773-2780
ISSN: 0924-0136
DOI: 10.1016/j.jmatprotec.2008.06.028
Popis: The focus of this research is on a hybrid method combining immune algorithm with a hill climbing local search algorithm for solving complex real-world optimization problems. The objective is to contribute to the development of more efficient optimization approaches with the help of immune algorithm and hill climbing algorithm. The hybrid algorithm combines the exploration speed of immune algorithm with the powerful ability to avoid being trapped in local minimum of hill climbing. This hybridization results in a solution that leads to better parameter values. This research is the first application of immune algorithm to the optimization of machining parameters in turning and also shape design optimization problems in the literature. The results of single-objective benchmark problem, multi-objective disc-brake problem, an automobile shape design optimization problem taken from the literature and case studies for multi-pass turning operation have demonstrated the superiority of the proposed hybrid over the other techniques in terms of solution quality and convergence rates.
Databáze: OpenAIRE
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