Applications of evolutionary methods for complex industrial problems

Michalewicz, Z.; Ibrahimov, M.; Mohais, A.

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/59562

Type:	Conference paper
Title:	Applications of evolutionary methods for complex industrial problems
Author:	Michalewicz, Z. Ibrahimov, M. Mohais, A.
Citation:	"Evolutionary Methods for Design, Optimization and Control"; Proceedings of EUROGEN 2009 (Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems) / T. Burczynski and J. Periaux (eds.): pp.1-6
Publisher:	CIMNE
Publisher Place:	Spain
Issue Date:	2009
Conference Name:	EUROGEN (2009 : Cracow, Poland)
Statement of Responsibility:	Zbigniew Michalewicz, Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg and Neal Wagner
Abstract:	Adaptive Business Intelligence systems combine the methods and techniques that enable prediction, optimisation and adaptation. Adaptive Business Intelligence software solutions powered by Computational Intelligence tools are invaluable for making better predictions and decisions. This paper discusses applicability of Adaptive Business Intelligence software systems for Demand Planning, Advanced Planning and Scheduling, and Supply Chain Network Optimisation, developed by SolveIT Software Pty Ltd.
Keywords:	computational intelligence optimisation scheduling planning evolutionary algorithms global optimisation multi-silo optimisation
Rights:	Copyright CIMNE, Barcelona, Spain 2009
Description (link):	http://www.eurogen2009.polsl.pl/index.html
Published version:	http://www.cs.adelaide.edu.au/~maksud/index.php?page=publications
Appears in Collections:	Aurora harvest 5 Computer Science publications

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