Oduguwa, VictorTiwari, AshutoshRoy, Rajkumar2006-01-262006-01-262004-01Oduguwa V, Tiwari A, Roy R. (2004) Sequential process optimisation using genetic algorithms. In: PPSN VIII. PPSN 2004. Lecture Notes in Computer Science, Volume 3242. Springer, Berlin. January 2004, pp. 782-7910302-9743http://hdl.handle.net/1826/994Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, 18-22 September 2004, Birmingham, UKLocating 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.1982 bytes440164 bytestext/plainapplication/pdfenArticle