Genetic algorithms (GA) have been widely used to solve planning problems. However, they require one to determine the optimal values of many genetic parameters, such as population sizes, crossover probability, mutation probability, and so on. To make matters worse, the most suitable combination of pa
✦ LIBER ✦
Project scheduling with limited resources using a genetic algorithm
✍ Scribed by Jairo R. Montoya-Torres; Edgar Gutierrez-Franco; Carolina Pirachicán-Mayorga
- Book ID
- 108147535
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 454 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0263-7863
No coin nor oath required. For personal study only.
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