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Sequential Process Optimisation Using Genetic Algorithms

By Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy

Abstract

Locating good design solutions within a sequential process environment is necessary to improve the quality and overall productivity of the processes. Multi-objective, multi-stage sequential process design is a complex problem involving large number of design variables and sequential relationship between any two stages. The aim of this paper is to propose a novel framework to handle real-life sequential process optimisation problems using a Genetic Algorithm (GA) based technique. The research validates the proposed GA based framework using a real-life case study of optimising the multi-pass rolling system design. The framework identifies a number of near optimal designs of the rolling system

Publisher: Springer-Verlag
Year: 2004
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/994
Provided by: Cranfield CERES
Journal:

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Citations

  1. (1982). A new method for calculating spread in rod rolling. doi
  2. (1997). Application of genetic algorithm to optimal design of the die shape in Extrusion. doi
  3. (1989). Genetic Algorithm in Search, Optimization and Machine Learning.
  4. (2001). Multi-objective Optimization Using Evolutionary Algorithms. doi
  5. (1996). Optimal Design of Process Variables in MultiPass Wire Drawing by Genetic Algorithms. doi
  6. (1993). Optimal Process Design in Steady-State Metal Forming by Finite Element Method-II. Application to Die Profile Design in Extrusion. doi
  7. (1984). Preform design in plane-strain rolling by the finite element method. doi
  8. (2003). Rolling System Design Optimisation using Soft Computing Techniques, EngD Thesis,
  9. (2003). The Optimal Scheduling of a Reversing Strip Mill: Studies Using Multi-population Genetic Algorithms and Differential Evolution. doi
  10. (1972). Theories of Bounded Rationality, doi

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