Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Empirical model-building and response surface
Empirical model-building and response surface
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Taguchi's parameter design: a panel discussion
Technometrics
ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Simulated annealing: past, present, and future
WSC '95 Proceedings of the 27th conference on Winter simulation
An approach for multiple criteria simulation optimization with application to turning operation
Computers and Industrial Engineering - Special issue: IE in Korea
Review of techniques for optimizing multiple quality characteristics in product development
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
A tabu search approach to optimization of drilling operations
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Manufacturing process control through integration of neural networks and fuzzy model
Fuzzy Sets and Systems
Fuzzy logic based intelligent selection of machining parameters
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
Empirical comparison of search algorithms for discrete event simulation
Computers and Industrial Engineering
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Tabu Search
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Meta-heuristics: The State of the Art
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
Design and Analysis of Experiments
Design and Analysis of Experiments
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Modelling of the cutting tool stresses in machining of Inconel 718 using artificial neural networks
Expert Systems with Applications: An International Journal
Development of an adaptive response surface method for optimization of computation-intensive models
Computers and Industrial Engineering
Information Sciences: an International Journal
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In today's rapidly changing scenario in manufacturing industries, applications of optimization techniques in metal cutting processes is essential for a manufacturing unit to respond effectively to severe competitiveness and increasing demand of quality product in the market. Optimization methods in metal cutting processes, considered to be a vital tool for continual improvement of output quality in products and processes include modelling of input-output and in-process parameters relationship and determination of optimal cutting conditions. However, determination of optimal cutting conditions through cost-effective mathematical models is a complex research endeavour, and over the years, the techniques of modelling and optimization have undergone substantial development and expansion. In this paper, the application potential of several modelling and optimization techniques in metal cutting processes, classified under several criteria, has been critically appraised, and a generic framework for parameter optimization in metal cutting processes is suggested for the benefits of selection of an appropriate approach.