Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
How Genetic Algorithms Work: A Critical Look at Implicit Parallelism
Proceedings of the 3rd International Conference on Genetic Algorithms
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
The Expert System of Product Design Based on CBR and GA
CISW '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops
Expert Systems with Applications: An International Journal
Generalized linear model-based expert system for estimating the cost of transportation projects
Expert Systems with Applications: An International Journal
Choosing distribution sub station location using soft computing technique
Proceedings of the International Conference on Advances in Computing, Communication and Control
| Hi-index | 0.00 |
In many companies, the employees take some training programs in order to cope with the innovations about their profession. The managers need to save time while the employees are being trained - the business must continue. Therefore, training plans must be prepared carefully. The employees may not be at the same level of knowledge and training must be planned with an optimum content for the employees. Preparing the curriculum plan manually may cause some problems like conflictions and may be waste of time for some of the employees if they are aware of the subject taught in the training. In this study, software, that provides a quite applicable solution to curriculum planning problem of the corporations by using the genetic algorithm technique, is introduced. The system aims to find the optimum training set for the employees. The study differs from the similar ones with the methodology of obtaining the fitness function of the genetic algorithm by using the rule base mechanism of an expert system. The project is available for using for a company's in-service training timetable optimization.