English

An Evolution Strategy Method for Optimizing Machining Parameters of Milling Operations

Optimization and Control 2015-01-08 v1
Authors: Zhixin Yang
View on arXiv ↗ PDF ↗

Abstract

In this paper, an evolutionary strategy (ES) method is introduced as an optimization approach to solve problems in the manufacturing area. The ES method is applied to a case study for milling operations. The results show that it can effectively yield good results.

Keywords

optimization

Cite

@article{arxiv.1501.01324,
  title  = {An Evolution Strategy Method for Optimizing Machining Parameters of Milling Operations},
  author = {Zhixin Yang},
  journal= {arXiv preprint arXiv:1501.01324},
  year   = {2015}
}

Related papers

View all related →
Optimization and Control · Mathematics
Evolution Strategies in Optimization Problems
Pedro A. F. Cruz, Delfim F. M. Torres
2007-12-30
Computer Science and Game Theory · Computer Science
Optimization-Based Algorithm for Evolutionarily Stable Strategies against Pure Mutations
Sam Ganzfried
2019-01-18
Astrophysics · Physics
Evolution strategies applied to the problem of line profile decomposition in QSO spectra
R. Quast, R. Baade, D. Reimers
2009-11-10
Neural and Evolutionary Computing · Computer Science
Improving Evolutionary Strategies with Generative Neural Networks
Louis Faury, Clement Calauzenes, Olivier Fercoq, Syrine Krichen
2019-02-01
Machine Learning · Computer Science
Evolution Strategies at the Hyperscale
Bidipta Sarkar, Mattie Fellows, Juan Agustin Duque, Alistair Letcher +16
2026-02-17
Disordered Systems and Neural Networks · Physics
Adaptive Evolutionary Optimization of Team Work
Volkhard Buchholtz, Thorsten Poeschel
2007-05-23
Neural and Evolutionary Computing · Computer Science
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
Youssef Diouane, Aurelien Lucchi, Vihang Patil
2022-02-23
Neural and Evolutionary Computing · Computer Science
Evolutionary Strategies for the Design of Binary Linear Codes
Claude Carlet, Luca Mariot, Luca Manzoni, Stjepan Picek
2022-11-22
Numerical Analysis · Mathematics
Global Linear Convergence of Evolution Strategies on More Than Smooth Strongly Convex Functions
Youhei Akimoto, Anne Auger, Tobias Glasmachers, Daiki Morinaga
2022-02-09
Optimization and Control · Mathematics
Global linear convergence of Evolution Strategies with recombination on scaling-invariant functions
Cheikh Touré, Anne Auger, Nikolaus Hansen
2022-10-25
Neural and Evolutionary Computing · Computer Science
Variance Reduction for Evolution Strategies via Structured Control Variates
Yunhao Tang, Krzysztof Choromanski, Alp Kucukelbir
2020-03-16
Neural and Evolutionary Computing · Computer Science
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
Xiaoyu He, Zibin Zheng, Yuren Zhou
2022-03-25
Neural and Evolutionary Computing · Computer Science
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
Nils Müller, Tobias Glasmachers
2018-07-03
Machine Learning · Statistics
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor +1
2017-09-11
Neural and Evolutionary Computing · Computer Science
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
Yingtao Tian, David Ha
2022-01-31
Neural and Evolutionary Computing · Computer Science
Towards Explainable Evolution Strategies with Large Language Models
Jill Baumann, Oliver Kramer
2024-08-06
Neural and Evolutionary Computing · Computer Science
Towards Resilient and Sustainable Global Industrial Systems: An Evolutionary-Based Approach
Václav Jirkovský, Jiří Kubalík, Petr Kadera, Arnd Schirrmann +2
2025-05-29
Sound · Computer Science
Toward Evolution Strategies Application in Automatic Polyphonic Music Transcription using Electronic Synthesis
Herve Kabamba Mbikayi
2013-04-04
Computational Engineering, Finance, and Science · Computer Science
Using Evolution Strategy with Meta-models for Well Placement Optimization
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
2010-11-25
Neural and Evolutionary Computing · Computer Science
Evolving Evolutionary Algorithms using Multi Expression Programming
Mihai Oltean, Crina Groşan
2021-09-29
Machine Learning · Statistics
Importance Weighted Evolution Strategies
Víctor Campos, Xavier Giro-i-Nieto, Jordi Torres
2018-11-13
Neural and Evolutionary Computing · Computer Science
Evolving Evolutionary Algorithms with Patterns
Mihai Oltean
2021-10-13
Machine Learning · Computer Science
The CMA Evolution Strategy: A Tutorial
Nikolaus Hansen
2023-03-13
Machine Learning · Statistics
Natural Evolution Strategies
Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun +1
2011-06-23
Neural and Evolutionary Computing · Computer Science
Evolvability ES: Scalable and Direct Optimization of Evolvability
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019-07-16
R2 v1 2026-06-22T07:52:59.092Z