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Hybrid Evolutionary Approaches to CNC Drill Route Optimization

S. Sigl, H.A. Mayer
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)  
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

Wei Chen Esmonde Lim, G. Kanagaraj, S. G. Ponnambalam
2014 The Scientific World Journal  
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

Ilker Kucukoglu, Tulin Gunduz, Fatma Balkancioglu, Emine Chousein Topal, Oznur Sayim
2019 An International Journal of Optimization and Control: Theories & Applications  
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

Shafie Kamaruddin, Mohamad Naqiuddin Rosdi, Nor Aiman Sukindar
2021 MANUFACTURING TECHNOLOGY  
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

Iqra Sadaf Khan, Usman Ghafoor, Taiba Zahid
2021 IEEE Access  
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

Primož Potočnik, Tomaž Berlec, Alojz Sluga, Edvard Govekar
2014 Strojniski vestnik  
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

Ruhul Sarker, Ko-Hsin Liang, Charles Newton
2002 European Journal of Operational Research  
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

You-Jin Park, Rong Pan, Connie M. Borror, Douglas C. Montgomery, Gyu-Bong Lee
2014 International Journal of Precision Engineering and Manufacturing - Green Technology  
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

Nguyen Huu Tho
2019 Exchanges  
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

Rodolfo E. Haber, Carmelo Juanes, Raúl del Toro, Gerardo Beruvides
2015 Computers in industry (Print)  
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

Mica Djurdjev, Robert Cep, Dejan Lukic, Aco Antic, Branislav Popovic, Mijodrag Milosevic
2021 Applied Sciences  
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

Marko Reibenschuh, Franc Cus, Uros Zuperl
2010 Journal of Industrial Engineering and Management  
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

Zhengmin Zhang, Zailin Guan, Weikang Fang, Lei Yue
2022 Journal of Industrial and Management Optimization  
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

Veera Babu Ramakurthi, V. K. Manupati, José Machado, Leonilde Varela
2021 Applied Sciences  
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

Qiong Liu, ,State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China, Jialiang Liu, Zhaorui Dong, Mengmeng Zhan, Zhen Mei, Baosheng Ying, Xinyu Shao, ,School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
2017 Journal of Industrial and Management Optimization  
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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