A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations

This paper presents a novel hybrid optimization approach based on differential evolution algorithm and receptor editing property of immune system. The purpose of the present research is to develop a new optimization approach to solve optimization problems in the manufacturing industry. The proposed hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case study are compared with those of hybrid particle swarm algorithm, ant colony algorithm, immune algorithm, hybrid immune algorithm, genetic algorithm, feasible direction method and handbook recommendation.

[1]  Yung C. Shin,et al.  Optimization of machining conditions with practical constraints , 1992 .

[2]  H. Md. Azamathulla,et al.  Support vector machine approach for longitudinal dispersion coefficients in natural streams , 2011, Appl. Soft Comput..

[3]  M Tolouei-Rad,et al.  On the optimization of machining parameters for milling operations , 1997 .

[4]  Sujin Bureerat,et al.  Multi-objective topology optimization using evolutionary algorithms , 2011 .

[5]  E.J.A. Armarego,et al.  COMPUTER-AIDED OPTIMIZATION OF MULTIPLE CONSTRAINT SINGLE PASS FACE MILLING OPERATIONS , 2001 .

[6]  A. George,et al.  Receptor editing during affinity maturation. , 1999, Immunology today.

[7]  Petros G. Petropoulos.  Optimal selection of machining rate variables by geometric programming , 1973 .

[8]  Feng-Sheng Wang,et al.  Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process , 1999 .

[9]  Tapabrata Ray,et al.  A Hybrid Evolutionary Algorithm With Simplex Local Search , 2007, 2007 IEEE Congress on Evolutionary Computation.

[10]  Necmettin Kaya,et al.  Hybrid multi-objective shape design optimization using Taguchi’s method and genetic algorithm , 2007 .

[11]  E.J.A. Armarego,et al.  Computer-Aided Constrained Optimization Analyses and Strategies for Multipass Helical Tooth Milling Operations , 1994 .

[12]  Ali R. Yildiz,et al.  Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations , 2013, Appl. Soft Comput..

[13]  F. W. Taylor.  The Art of Cutting Metals , 1907 .

[14]  Fernando José Von Zuben,et al.  Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..

[15]  A. Gopala Krishna.  RETRACTED: Optimization of surface grinding operations using a differential evolution approach , 2007 .

[16]  R. Saravanan,et al.  Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods , 2005 .

[17]  Ye Xu,et al.  Parameter identification of chaotic systems by hybrid Nelder-Mead simplex search and differential evolution algorithm , 2011, Expert Syst. Appl..

[18]  G. K. Lal,et al.  Determination of optimal subdivision of depth of cut in multipass turning with constraints , 1995 .

[19]  G. T. Tsao,et al.  Fuzzy-Decision-Making Problems of Fuel Ethanol Production Using a Genetically Engineered Yeast , 1998 .

[20]  H. Md. Azamathulla,et al.  Linear genetic programming to scour below submerged pipeline , 2011 .

[21]  J. S. Agapiou.  The Optimization of Machining Operations Based on a Combined Criterion, Part 2: Multipass Operations , 1992 .

[22]  Jun Wang,et al.  Computer-aided economic optimization of end-milling operations , 1998 .

[23]  H. Md. Azamathulla,et al.  Gene-Expression Programming for Sediment Transport in Sewer Pipe Systems , 2011 .

[24]  Jean-Michel Renders,et al.  Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[25]  B. Babu,et al.  Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation , 1999 .

[26]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[27]  Moo Ho Lee,et al.  Dynamic Optimization of a Continuous Polymer Reactor Using a Modified Differential Evolution Algorithm , 1999 .

[28]  Krister Svanberg,et al.  Sequential integer programming methods for stress constrained topology optimization , 2007 .

[29]  Kiran Solanki,et al.  Multi-objective optimization of vehicle crashworthiness using a new particle swarm based approach , 2012 .

[30]  Ali R. Yildiz,et al.  Hybrid immune-simulated annealing algorithm for optimal design and manufacturing , 2009 .

[31]  Can Cogun,et al.  A computer-aided graphical technique for the optimization of machining conditions , 1993 .

[32]  Ali Riza Yildiz,et al.  A new design optimization framework based on immune algorithm and Taguchi's method , 2009, Comput. Ind..

[33]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[34]  Mahmudur Rahman,et al.  Optimisation of multi-pass milling using genetic algorithm and genetic simulated annealing , 2004 .

[35]  Ali Rıza Yıldız,et al.  A novel particle swarm optimization approach for product design and manufacturing , 2008 .

[36]  Kazuhiro Saitou,et al.  Topology Synthesis of Multicomponent Structural Assemblies in Continuum Domains , 2011 .

[37]  Leandro Nunes de Castro,et al.  The Clonal Selection Algorithm with Engineering Applications 1 , 2000 .

[38]  Ali R. Yildiz,et al.  A novel hybrid immune algorithm for global optimization in design and manufacturing , 2009 .

[39]  E.J.A. Armarego,et al.  Constrained optimization strategies and CAM software for single-pass peripheral milling , 1993 .

[40]  Ali R. Yildiz,et al.  An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry , 2009 .

[41]  Jun Wang,et al.  Optimization of Cutting Conditions for Single Pass Turning Operations Using a Deterministic Approach , 2002 .

[42]  W. Land,et al.  A new training algorithm for the general regression neural network , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[43]  Ali R. Yildiz,et al.  Hybrid Taguchi-Harmony Search Algorithm for Solving Engineering Optimization Problems , 2008 .

[44]  Arthur C. Sanderson,et al.  Minimal representation multisensor fusion using differential evolution , 1999, IEEE Trans. Syst. Man Cybern. Part A.

[45]  Yoke San Wong,et al.  Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing , 2005 .

[46]  A R Yildiz,et al.  Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation , 2006 .