Back to Search
Start Over
A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
- Publication Year :
- 2019
- Publisher :
- Walter de Gruyter, 2019.
-
Abstract
- In this paper, a novel hybrid optimization algorithm (H-HHONM) which combines the Nelder-Mead local search algorithm with the Harris hawks optimization algorithm is proposed for solving real-world optimization problems. This paper is the first research study in which both the Harris hawks optimization algorithm and the H-HHONM are applied for the optimization of process parameters in milling operations. The H-HHONM is evaluated using well-known benchmark problems such as the three-bar truss problem, cantilever beam problem, and welded beam problem. Finally, a milling manufacturing optimization problem is solved for investigating the performance of the H-HHONM. Additionally, the salp swarm algorithm is used to solve the milling problem. The results of the H-HHONM for design and manufacturing problems solved in this paper are compared with other optimization algorithms presented in the literature such as the ant colony algorithm, genetic algorithm, particle swarm optimization algorithm, simulated annealing algorithm, artificial bee colony algorithm, teaching learning-based optimization algorithm, cuckoo search algorithm, multi-verse optimization algorithm, Harris hawks optimization optimization algorithm, gravitational search algorithm, ant lion optimizer, moth-flame optimization algorithm, symbiotic organisms search algorithm, and mine blast algorithm. The results show that H-HHONM is an effective optimization approach for optimizing both design and manufacturing optimization problems.
- Subjects :
- 0209 industrial biotechnology
Mathematical optimization
Design
Computer science
02 engineering and technology
Learning algorithms
Surface grinding process
Structural optimization
Simulated annealing
Ant colony optimization
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Optimal machining parameters
General Materials Science
Milling operations
Multiobjective optimization
Optimization of process parameters
Millingdesign
Artificial bee colony algorithms
Optimization algorithm
Simulated annealing algorithms
Mechanical Engineering
Particle swarm optimization
Cutting Process
Chatter
Turning
Manufacture
Harris hawks algorithm
Genetic algorithms
Nelder mead
Nelder meads
Memetic agorithms
Genetic algorithm
Mechanics of Materials
Particle swarm optimization algorithm
020201 artificial intelligence & image processing
Global optimization
Gravitational search algorithms
Nelder–Mead method
Differential evolution
Hybrid optimization
Milling (machining)
Materials science, characterization & testing
Teaching-learning-based optimizations
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....3e78b3a741a993a9f97771a464939436