Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor. / Haus, Benedikt; Mercorelli, Paolo; Yap, Jin Siang et al.
Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers. ed. / Kanubhai K. Patel; Gayatri Doctor; Atul Patel; Pawan Lingras. Cham: Springer Nature Switzerland AG, 2022. p. 41-50 (Communications in Computer and Information Science; Vol. 1572 CCIS).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Haus, B, Mercorelli, P, Yap, JS & Schäfer, L 2022, Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor. in KK Patel, G Doctor, A Patel & P Lingras (eds), Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers. Communications in Computer and Information Science, vol. 1572 CCIS, Springer Nature Switzerland AG, Cham, pp. 41-50, 3rd International Conference on Soft Computing and its Engineering Applications - icSoftComp 2021, Anand, India, 10.12.21. https://doi.org/10.1007/978-3-031-05767-0_4

APA

Haus, B., Mercorelli, P., Yap, J. S., & Schäfer, L. (2022). Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor. In K. K. Patel, G. Doctor, A. Patel, & P. Lingras (Eds.), Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers (pp. 41-50). (Communications in Computer and Information Science; Vol. 1572 CCIS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-05767-0_4

Vancouver

Haus B, Mercorelli P, Yap JS, Schäfer L. Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor. In Patel KK, Doctor G, Patel A, Lingras P, editors, Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, revised selected papers. Cham: Springer Nature Switzerland AG. 2022. p. 41-50. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-05767-0_4

Bibtex

@inbook{3f91bf89e9ea4020bb08c79d8ffcded2,
title = "Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor",
abstract = "This contribution deals with the identification of roughness as a function of gloss in manufacturing using Particle Swarm Optimization (PSO) methods. The proposed PSO method uses a Least Squares Method as a cost function to be optimized. The identification structure uses a Gaussian and a Trigonometric Regressor characterized by seven parameters to be estimated. In PSO algorithms, there is a delicate balance to maintain between exploration (global search) and exploitation (local search) and this is one of the most important issues of this optimization method. An analysis of an increment of the dimension of the search space of the PSO is proposed. This is realized through an increment of its exploitation dimension to improve the precision of the search phase of the PSO, at the cost of more computations in each iteration. Nevertheless, convergence time results to be shorter in the presented case. Thus, an optimal increment of the dimension exists which states a compromise between velocity of the convergence and precision. Measured results from a manufacturing system with and without enlargement of the search space are shown together with results obtained using a Genetic Algorithm (GA) for comparison. Advantages and drawbacks are pointed out.",
keywords = "Curve fitting, Manufacturing applications, Particle Swarm Optimization, Engineering",
author = "Benedikt Haus and Paolo Mercorelli and Yap, {Jin Siang} and Lennart Sch{\"a}fer",
year = "2022",
doi = "10.1007/978-3-031-05767-0_4",
language = "English",
isbn = "978-3-031-05766-3",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature Switzerland AG",
pages = "41--50",
editor = "Patel, {Kanubhai K.} and Gayatri Doctor and Atul Patel and Pawan Lingras",
booktitle = "Soft Computing and its Engineering Applications",
address = "Switzerland",
note = "3rd International Conference on Soft Computing and its Engineering Applications - icSoftComp 2021, icSoftComp 2021 ; Conference date: 10-12-2021 Through 11-12-2021",
url = "https://www.charusat.ac.in/icSoftComp2021/index.php",

}

RIS

TY - CHAP

T1 - Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor

AU - Haus, Benedikt

AU - Mercorelli, Paolo

AU - Yap, Jin Siang

AU - Schäfer, Lennart

PY - 2022

Y1 - 2022

N2 - This contribution deals with the identification of roughness as a function of gloss in manufacturing using Particle Swarm Optimization (PSO) methods. The proposed PSO method uses a Least Squares Method as a cost function to be optimized. The identification structure uses a Gaussian and a Trigonometric Regressor characterized by seven parameters to be estimated. In PSO algorithms, there is a delicate balance to maintain between exploration (global search) and exploitation (local search) and this is one of the most important issues of this optimization method. An analysis of an increment of the dimension of the search space of the PSO is proposed. This is realized through an increment of its exploitation dimension to improve the precision of the search phase of the PSO, at the cost of more computations in each iteration. Nevertheless, convergence time results to be shorter in the presented case. Thus, an optimal increment of the dimension exists which states a compromise between velocity of the convergence and precision. Measured results from a manufacturing system with and without enlargement of the search space are shown together with results obtained using a Genetic Algorithm (GA) for comparison. Advantages and drawbacks are pointed out.

AB - This contribution deals with the identification of roughness as a function of gloss in manufacturing using Particle Swarm Optimization (PSO) methods. The proposed PSO method uses a Least Squares Method as a cost function to be optimized. The identification structure uses a Gaussian and a Trigonometric Regressor characterized by seven parameters to be estimated. In PSO algorithms, there is a delicate balance to maintain between exploration (global search) and exploitation (local search) and this is one of the most important issues of this optimization method. An analysis of an increment of the dimension of the search space of the PSO is proposed. This is realized through an increment of its exploitation dimension to improve the precision of the search phase of the PSO, at the cost of more computations in each iteration. Nevertheless, convergence time results to be shorter in the presented case. Thus, an optimal increment of the dimension exists which states a compromise between velocity of the convergence and precision. Measured results from a manufacturing system with and without enlargement of the search space are shown together with results obtained using a Genetic Algorithm (GA) for comparison. Advantages and drawbacks are pointed out.

KW - Curve fitting

KW - Manufacturing applications

KW - Particle Swarm Optimization

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85130279372&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/43901d95-2f2d-3bd1-a0f1-8e1d540724ff/

U2 - 10.1007/978-3-031-05767-0_4

DO - 10.1007/978-3-031-05767-0_4

M3 - Article in conference proceedings

AN - SCOPUS:85130279372

SN - 978-3-031-05766-3

T3 - Communications in Computer and Information Science

SP - 41

EP - 50

BT - Soft Computing and its Engineering Applications

A2 - Patel, Kanubhai K.

A2 - Doctor, Gayatri

A2 - Patel, Atul

A2 - Lingras, Pawan

PB - Springer Nature Switzerland AG

CY - Cham

T2 - 3rd International Conference on Soft Computing and its Engineering Applications - icSoftComp 2021

Y2 - 10 December 2021 through 11 December 2021

ER -

Recently viewed

Publications

  1. An introduction to sliding mode control for interdisciplinary education
  2. Predicate‐based model of problem‐solving for robotic actions planning
  3. A toolkit for robust risk assessment using F-divergences
  4. On the Equivalence of Transmission Problems in Nonoverlapping Domain Decomposition Methods for Quasilinear PDEs
  5. A Trajectory Generation Algorithm for Optimal Consumption in Electromagnetic Actuators
  6. Switching cascade controllers combined with a feedforward regulation for an aggregate actuator in automotive applications
  7. Design of Reliable Remobilisation Finger Implants with Geometry Elements of a Triple Periodic Minimal Surface Structure via Additive Manufacturing of Silicon Nitride
  8. On the role of linguistic features for comprehension and learning from STEM texts. A meta-analysis
  9. Elemental analysis using electron beam‐induced K X‐rays
  10. Sliding Mode Control Strategies for Maglev Systems Based on Kalman Filtering
  11. Self-perceived quality of life predicts mortality risk better than a multi-biomarker panel, but the combination of both does best
  12. Multiobjective optimal control of fluid mixing
  13. Trajectory tracking using MPC and a velocity observer for flat actuator systems in automotive applications
  14. Toward Data-Driven Analyses of Electronic Text Books
  15. Design, Modeling and Control of an Over-actuated Hexacopter Tilt-Rotor
  16. Distributable Modular Software Framework for Manufacturing Systems
  17. Confidence levels and likelihood terms in IPCC reports
  18. Determination of the construction and the material identity values of outside building components with the help of in-situ measuring procedures and FEM-simulation calculations
  19. Natural enemy diversity reduces temporal variability in wasp but not bee parasitism
  20. Microstructure and mechanical properties of as-cast Mg-Sn-Ca alloys and effect of alloying elements
  21. Continued logarithm representation of real numbers
  22. Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer
  23. Principals between exploitation and exploration
  24. Geometric series with randomly increasing exponents
  25. Do Linguistic Features Influence Item Difficulty in Physics Assessments?
  26. Detection of oscillations with application in the pantograph control
  27. A dissociation between two classes of spatial abilities in elementary school children
  28. Export Boosting Policies and Firm Performance
  29. Exploring the implications of the value concept for performance assessment of sustainable business models
  30. A piezo servo hydraulic actuator for use in camless combustion engines and its control with MPC
  31. Smart Multi-coil Inductive Power Tranmission with IoT Based Visulization
  32. Light availability and land-use history drive biodiversity and functional changes in forest herb layer communities
  33. Chronic effects of a static stretching intervention program on range of motion and tissue hardness in older adults
  34. Transdisciplinary co-creation increases the utilization of knowledge from sustainable development research
  35. A Sensitive Microsystem as Biosensor for Cell Growth Monitoring and Antibiotic Testing
  36. Logistical Potentials of Load Balancing via the Build-up and Reduction of Stock
  37. Discrete Lyapunov Controllers for an Actuator in Camless Engines
  38. Control of a two-thermoelectric-cooler system for ice-clamping application using Lyapunov based approach
  39. Knowledge Graph Question Answering Datasets and Their Generalizability
  40. An intersection test for the cointegrating rank in dependent panel data
  41. Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach
  42. An optimal minimum phase approximating PD regulator for robust control of a throttle plate
  43. Learner characteristics and information processing in multimedia learning
  44. Controlling a Bank Model Economy by Sliding Mode Control with Help of Kalman Filter
  45. rSOESGOPE Method Applied to Four-Tank System Modeling
  46. Spatial Tests, Familiarity with the Surroundings, and Spatial Activity Experience
  47. Passive Rotation Compensation in Parallel Kinematics Using Quaternions