The application of genetic algorithms to optimise the performance of a mine ventilation network: the influence of coding method and population size
- 27 April 2004
- journal article
- Published by Springer Science and Business Media LLC in Soft Computing
- Vol. 9 (7), 493-506
- https://doi.org/10.1007/s00500-004-0364-9
Abstract
No abstract availableKeywords
This publication has 6 references indexed in Scilit:
- Genetic algorithms for communications network design - an empirical study of the factors that influence performanceIEEE Transactions on Evolutionary Computation, 2001
- Recursive Conditional Schema Theorem, Convergence and Population Sizing in Genetic AlgorithmsPublished by Elsevier BV ,2001
- OPTIMAL LAYOUT OF TREE NETWORKS USING GENETIC ALGORITHMSEngineering Optimization, 1993
- Accounting for Noise in the Sizing of PopulationsFoundations of Genetic Algorithms, 1993
- Subsurface Ventilation and Environmental EngineeringPublished by Springer Science and Business Media LLC ,1993
- Genetic Algorithms in Pipeline OptimizationJournal of Computing in Civil Engineering, 1987