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  1. The International Journal of Advanced Manufacturing Technology
  2. The International Journal of Advanced Manufacturing Technology : Volume 38
  3. The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 9-10, September 2008
  4. Real-coded genetic algorithm for machining condition optimization
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The International Journal of Advanced Manufacturing Technology : Volume 91
The International Journal of Advanced Manufacturing Technology : Volume 90
The International Journal of Advanced Manufacturing Technology : Volume 89
The International Journal of Advanced Manufacturing Technology : Volume 88
The International Journal of Advanced Manufacturing Technology : Volume 87
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The International Journal of Advanced Manufacturing Technology : Volume 40
The International Journal of Advanced Manufacturing Technology : Volume 39
The International Journal of Advanced Manufacturing Technology : Volume 38
The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 11-12, October 2008
The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 9-10, September 2008
A new optimization criterion for robust parameter design — the case of target is best
Deformation control through fixture layout design and clamping force optimization
A comparative study of the ANN and RSM modeling approaches for predicting burr size in drilling
Real-coded genetic algorithm for machining condition optimization
Optimization of turning parameters for surface roughness and tool life based on the Taguchi method
The application of Taguchi’s method in the experimental investigation of the laser sintering process
EDM electrode manufacturing using RP combining electroless plating with electroforming
Analysis of rotary electrical discharge machining characteristics in reversal magnetic field for copper-en8 steel system
Development of nano-structured Al2O3-TiB2-TiN coatings by combined SHS and laser surface alloying
The manufacture of micromould and microparts by vacuum casting
Modeling an envelope generated by 3D volumetric NC tool motion
An investigation on manufacturing process parameters of CNG pressure vessels
Determining the parameters of dual-card kanban system: an integrated multicriteria and artificial neural network methodology
Evaluation of scatter-search approach for scheduling optimization of flexible manufacturing systems
An improved genetic algorithm for job-shop scheduling problems using Taguchi-based crossover
A Web-based Kanban system for job dispatching, tracking, and performance monitoring
Scheduling of Wet Etch and Furnace Operations with Next Arrival Control Heuristic
An efficient heuristic approach to total flowtime minimization in permutation flowshop scheduling
Optimization of clearance variation in selective assembly for components with multiple characteristics
Maximum payload for flexible joint manipulators in point-to-point task using optimal control approach
The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 7-8, September 2008
The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 5-6, August 2008
The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 3-4, August 2008
The International Journal of Advanced Manufacturing Technology : Volume 38, Issue 1-2, July 2008
The International Journal of Advanced Manufacturing Technology : Volume 37
The International Journal of Advanced Manufacturing Technology : Volume 36
The International Journal of Advanced Manufacturing Technology : Volume 35
The International Journal of Advanced Manufacturing Technology : Volume 34
The International Journal of Advanced Manufacturing Technology : Volume 33
The International Journal of Advanced Manufacturing Technology : Volume 32
The International Journal of Advanced Manufacturing Technology : Volume 31
The International Journal of Advanced Manufacturing Technology : Volume 30
The International Journal of Advanced Manufacturing Technology : Volume 29
The International Journal of Advanced Manufacturing Technology : Volume 28
The International Journal of Advanced Manufacturing Technology : Volume 27
The International Journal of Advanced Manufacturing Technology : Volume 26
The International Journal of Advanced Manufacturing Technology : Volume 25
The International Journal of Advanced Manufacturing Technology : Volume 24
The International Journal of Advanced Manufacturing Technology : Volume 23
The International Journal of Advanced Manufacturing Technology : Volume 22
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The International Journal of Advanced Manufacturing Technology : Volume 19
The International Journal of Advanced Manufacturing Technology : Volume 18
The International Journal of Advanced Manufacturing Technology : Volume 17
The International Journal of Advanced Manufacturing Technology : Volume 16
The International Journal of Advanced Manufacturing Technology : Volume 15
The International Journal of Advanced Manufacturing Technology : Volume 14
The International Journal of Advanced Manufacturing Technology : Volume 13

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Efficient genetic algorithm for multi-objective robust optimization of machining parameters with taking into account uncertainties

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Real-coded genetic algorithm for machining condition optimization

Content Provider Springer Nature Link
Author Kim, Sung Soo Kim, Il Hwan Mani, V. Kim, Hyung Jun
Copyright Year 2007
Abstract In this paper, we consider the machining condition optimization models presented in earlier studies. Finding the optimal combination of machining conditions within the constraints is a difficult task. Hence, in earlier studies standard optimization methods are used. The non-linear nature of the objective function, and the constraints that need to be satisfied makes it difficult to use the standard optimization methods for the solution. In this paper, we present a real coded genetic algorithm (RCGA), to find the optimal combination of machining conditions. We present various issues related to real coded genetic algorithm such as solution representation, crossover operators, and repair algorithm in detail. We also present the results obtained for these models using real coded genetic algorithm and discuss the advantages of using real coded genetic algorithm for these problems. From the results obtained, we conclude that real coded genetic algorithm is reliable and accurate for solving the machining condition optimization models.
Starting Page 884
Ending Page 895
Page Count 12
File Format PDF
ISSN 02683768
Journal The International Journal of Advanced Manufacturing Technology
Volume Number 38
Issue Number 9-10
e-ISSN 14333015
Language English
Publisher Springer-Verlag
Publisher Date 2007-09-06
Publisher Place London
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Machining conditions Multi-pass turning Optimization Real-coded genetic algorithm Single-pass turning Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type Text
Resource Type Article
Subject Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software
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