Maksud Ibrahimov

Affiliations:
  • University of Adelaide, Australia


According to our database1, Maksud Ibrahimov authored at least 11 papers between 2009 and 2012.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2012
Evolutionary approaches for supply chain optimisation. Part II: multi-silo supply chains.
Int. J. Intell. Comput. Cybern., 2012

Evolutionary approaches for supply chain optimisation: Part I: single and two-component supply chains.
Int. J. Intell. Comput. Cybern., 2012

A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Networks.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

An Evolutionary Approach to Practical Constraints in Scheduling: A Case-Study of the Wine Bottling Problem.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

2011
Advanced Planning in Vertically Integrated Supply Chains.
Proceedings of the Intelligent Decision Systems in Large-Scale Distributed Environments, 2011

Comparison of cooperative, multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Optimising supply chain networks by means of a hybridised simulation-based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Time-varying constraints and other practical problems in real-world scheduling applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Global Optimization in Supply Chain Operations.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009


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