Operations research: an introduction, 4th ed.
Operations research: an introduction, 4th ed.
Some guidelines for genetic algorithms with penalty functions
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Penalty guided genetic search for reliability design optimization
Computers and Industrial Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Tracking Changing Environments
Proceedings of the 5th International Conference on Genetic Algorithms
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Forecasting time series with genetic fuzzy predictor ensemble
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Managing storage location and capacity for reverse logistics - the case of Carlsberg Denmark A/S
MOAS'07 Proceedings of the 18th conference on Proceedings of the 18th IASTED International Conference: modelling and simulation
Supply chain optimisation using evolutionary algorithms
International Journal of Computer Applications in Technology
Managing storage location and capacity for reverse logistics: the case of Carlsberg Denmark A/S
MS '07 The 18th IASTED International Conference on Modelling and Simulation
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
Evolutionary algorithm based corrective process control system in glass melting process
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Forecasting with a dynamic window of time: the DyFor genetic program model
IMTCI'04 Proceedings of the Second international conference on Intelligent Media Technology for Communicative Intelligence
SETZ logistics models and system framework for manufacturing and exporting large engineering assets
Journal of Systems and Software
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Forecasting activities are widely performed in the various areas of supply chains for predicting important supply chain management (SCM) measurements such as demand volume in order management, product quality in manufacturing processes, capacity usage in production management, traffic costs in transportation management, and so on. This paper presents a computerized system for implementing the forecasting activities required in SCM. For building a generic forecasting model applicable to SCM, a linear causal forecasting model is proposed and its coefficients are efficiently determined using the proposed genetic algorithms (GA), canonical GA and guided GA (GGA). Compared to canonical GA, GGA adopts a fitness function with penalty operators and uses population diversity index (PDI) to overcome premature convergence of the algorithm. The results obtained from two case studies show that the proposed GGA provides the best forecasting accuracy and greatly outperforms the regression analysis and canonical GA methods. A computerized system was developed to implement the forecasting functions and is successfully running in real glass manufacturing lines.