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Hybrid Evolutionary Approaches to CNC Drill Route Optimization
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)
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A problem in computer numeric control (CNC) manufacturing is the minimization of the distance a drilling tool has to move in order to drill holes at given locations. ...
After introducing the problem being an instance of the traveling salesman problem (TSP) we describe the Route Optimizer RO3 based on an evolutionary algorithm (EA). ...
Acknowledgements We would like to thank Ludwig Schröckeneder 3 for supporting our research. ...
doi:10.1109/cimca.2005.1631379
dblp:conf/cimca/SiglM05
fatcat:bi4clhc5l5bk7efpaawyapd4ma
PCB Drill Path Optimization by Combinatorial Cuckoo Search Algorithm
2014
The Scientific World Journal
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To increase PCB manufacturing productivity and to reduce production costs, a good option is to minimize the drill path route using an optimization algorithm. ...
Optimization of drill path can lead to significant reduction in machining time which directly improves productivity of manufacturing systems. ...
They do not have a direct financial relation that might lead to a conflict of interests for any of them. ...
doi:10.1155/2014/264518
pmid:24707198
pmcid:PMC3953641
fatcat:4htr2zdfirf25oxxrfldwqihci
Application of precedence constrained travelling salesman problem model for tool path optimization in CNC milling machines
2019
An International Journal of Optimization and Control: Theories & Applications
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Then, the proposed algorithm is carried out to optimize the hole drilling processes of three different products produced by the company. ...
In this study, a tool path optimization problem in Computer Numerical Control (CNC) milling machines is considered to increase the operational efficiency rates of a company. ...
Acknowledgments The authors thank to company consultants Mr. Mustafa Karataş who have shared their experiences and knowledge, and also to the employees of HİD-TEK for their support. ...
doi:10.11121/ijocta.01.2019.00662
fatcat:kzcnzdku6vewzarysysrozegqy
Optimization of Drilling Path Using the Bees Algorithm
2021
MANUFACTURING TECHNOLOGY
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Thus, instead of
randomly travel to any cities to make sales, applying optimization method helps salesman to find route with the
least total distance. ...
A Kalman Filter approach to PCB drill path optimization problem, 2016 IEEE Conference on
Systems, Process and Control (ICSPC), pp. 33-36.
[13] DAADOO M., ELEYAN D., TARAPIAH S., ATALLA S., ELEYAN ...
doi:10.21062/mft.2021.095
fatcat:rkohprtv4fehhax76fxynmi5fy
Meta-heuristic approach for the development of alternative process plans in a reconfigurable production environment
2021
IEEE Access
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Two evolutionary algorithms (EAs) have been proposed and compared to answer complex problem of process planning. ...
scheduling solutions to reduce lead time. ...
The present study suggests customized evolutionary approach for the generation of optimal process plans. ...
doi:10.1109/access.2021.3104116
fatcat:qaec5dln2vd4bi3wume3fkyfeu
Hybrid Self-Organization Based Facility Layout Planning
2014
Strojniski vestnik
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The method combines the advantages of both algorithmic and manual expert-based approaches to layout planning. ...
A novel hybrid two-stage method of facility layout planning, based on self-organized clustering, is presented. ...
Other proposed approaches for solving the cell formation and facility layout problems include partitional clustering [11] , the correlation analysis approach [12] , and various evolutionary, genetic ...
doi:10.5545/sv-jme.2014.1748
fatcat:aiddrl4jmrefjpudiu7w6gpxo4
A new multiobjective evolutionary algorithm
2002
European Journal of Operational Research
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Cornforth (2007) An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system, Evolutionary
3207 137 . 137 Rai, M.M. (2004) Robust optimal aerodynamic design ...
HY Fan, J Lampinen, Y Levy (2006) An easy-to-implement differential evolution
approach for multi-objective optimizations, Engineering Computations: Int J for
Computer-Aided Engineering and software, ...
doi:10.1016/s0377-2217(01)00190-4
fatcat:kndbzvq6jrgnromsrtx2jc6mji
Simultaneous improvement of energy efficiency and product quality in PCB lamination process
2014
International Journal of Precision Engineering and Manufacturing - Green Technology
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In this research, we employ designed experiments and model-building techniques to obtain optimal settings of the three main operating parameters which will simultaneously minimize energy consumption while ...
This is due to the use of high temperatures and high pressures in that process which are required to employ photo sensitive dry film resist-coating on the panel. ...
. 29 The goal programming approach has been proposed for minimizing deviations from individual goals and then an evolutionary optimization algorithm has been suggested to find multiple Pareto-optimal ...
doi:10.1007/s40684-014-0031-2
fatcat:6u4h6mpvmzhp3aqiyffdom3upu
Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method
2019
Exchanges
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The principle of biogeography-based optimization (BBO) is adapted to explore the possibilities of attaining feasible solutions for a formulated problem. ...
The proposed model considered the capacity of machines, tool magazines, batch sizes, processing time and the time taken to transport machining parts. ...
Acknowledgements The authors would like to acknowledge the JICA AUN/SEED-Net for their support. ...
doi:10.31273/eirj.v7i1.288
fatcat:qiu7rrhva5eithq2p4kmpxikra
Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process
2015
Computers in industry (Print)
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Thus, our main purpose here is the emulation of human socio-cognitive skills, so as to approach control engineering problems in an effective way at an industrial level. ...
The design and implementation of artificial cognitive control architecture is focused on four key areas: (i) self-optimization and self-leaning capabilities by estimation of distribution and reinforcement-learning ...
The authors wish also to thank Fernando Castaño for the support in the realization of experiments and processing data from experiments. ...
doi:10.1016/j.compind.2015.05.001
fatcat:mj7uhjrxkvhannu3pso7wm6pw4
A Genetic Crow Search Algorithm for Optimization of Operation Sequencing in Process Planning
2021
Applied Sciences
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To solve this problem, a novel genetic crow search approach (GCSA) is proposed in this paper. ...
Minimization of total production cost is used as the optimization criterion to evaluate process plans. ...
A hybrid genetic algorithm and simulated annealing approach to optimize the production cost of a complicated part in a dynamic workshop environment was proposed by Huang et al. [8] . ...
doi:10.3390/app11051981
fatcat:4u75qarlgjhf5c2pvydulkngzu
Comparison of different optimization and process control procedures
2010
Journal of Industrial Engineering and Management
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PSO and GA algorithm are applied to the CNC milling program to improve cutting conditions, improve end finishing, reduce tool wear and reduce the stress on the tool, the machine and the machined part. ...
This paper includes a comparison of different optimization methods, used for optimizing the cutting conditions during milling. ...
applications. o Evolutionary algorithms, genetic algorithms (GA), o Hybrid (neuro -fuzzy, pseudo outer-product-based fuzzy neural network) o Harmony search, • Swarm intelligence (Particle swarm optimization ...
doi:10.3926/jiem.2010.v3n2.p383-398
fatcat:hzxp6virpfa2no42zlhuonz3ba
Dynamic virtual cellular reconfiguration for capacity planning of market-oriented production systems
2022
Journal of Industrial and Management Optimization
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To address the proposed model, we design a hybrid metaheuristic named Lévy-NSGA-Ⅱ, and perform various computational experiments to examine the performance of the proposed algorithm. ...
Results of experiments indicate that the proposed Lévy-NSGA-Ⅱ based algorithm outperforms multi-objective cuckoo search (MOCS) and NSGA-Ⅱ in solution quality and optimal solution size.</p> ...
lathes 5 3000 2 M2 Ordinary lathes 5 3000 3 M3 Slotting machines 2 1700 4 M4 CNC slotting machines 5 1600 5 M5 Grinders 6 1200 6 M6 Grinding machines 4 1200 7 M7 Gun Drill 3 1600 8 M8 Drilling machines ...
doi:10.3934/jimo.2022009
fatcat:va6ns5ao3ncqbcnot4lewgxsoi
A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems
2021
Applied Sciences
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We then proposed a Hybrid Multi-Objective Moth Flame Optimization algorithm (HMFO) to optimize process planning and scheduling functions. ...
An integrated classifier-assisted evolutionary multi-objective evolutionary approach is proposed for solving the objectives of makespan, energy consumption, and increased service utilization rate, interoperability ...
A Hybrid Particle Swarm Optimization (H-PSO) was described for IPPS and delivery route planning. ...
doi:10.3390/app11146314
fatcat:pqb3i4nj4jhoblrauhhq2jtgma
Integrated optimization of process planning and scheduling for reducing carbon emissions
2017
Journal of Industrial and Management Optimization
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A case study including three workpieces with twenty-three machining features to be processed by turning, milling, drilling, boring and grinding is used to verify the proposed integrated model and algorithm ...
, process routes and machining sequence of workpieces. ...
Since cutting parameter optimization is a continuous optimization problem in CNC machining but optimization of machining method, process route and scheduling is a discrete optimization problem, it is very ...
doi:10.3934/jimo.2020010
fatcat:gotztg6kqfc6ro2veoszzanehi
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