Optimization of Public Lighting Projects: Specifying and Implementing a Genetic Algorithm - Roseanne Santos de Carvalho,Manoel Firmino de Medeiros Júnior,Rômulo Alves de Oliveira
Roseanne Santos de Carvalho, Manoel Firmino de Medeiros Júnior, Rômulo Alves de Oliveira
-20% with code BOOKS
Shipping in 15-21 days
30-day return policy
Currently the Public Lighting (PI) projects, i.e. streets, avenues, squares, parking lots and the like are carried out with the use of commercial or free software, in general supplied by manufacturers or groups of manufacturers of lighting products, applying the Point to Point Method to calculate the lighting levels. Other points in common are: the lack of concern in reducing the costs of the projects and t ... Full description
You May Also Like
Description
Currently the Public Lighting (PI) projects, i.e. streets, avenues, squares, parking lots and the like are carried out with the use of commercial or free software, in general supplied by manufacturers or groups of manufacturers of lighting products, applying the Point to Point Method to calculate the lighting levels. Other points in common are: the lack of concern in reducing the costs of the projects and the difficulty in modifying the structures used, such as: location and height of the poles and luminaries, angle of inclination of the luminaries, number of luminaries per pole, among others. Any change in the structures will have to be done manually, usually in a CAD environment, to later obtain the new results and compare them with the previous ones. To assist in this task, it is proposed here the use of the Ant Colony Metaheuristic, where the parameters and location of the structures are defined automatically, in order to meet the lighting levels established in the technical standards, besides optimizing the material cost per area unit.
More Information
| Author | Roseanne Santos de Carvalho, Manoel Firmino de Medeiros Júnior, Rômulo Alves de Oliveira |
|---|---|
| Publisher | Our Knowledge Publishing |
| Release year | 2022 |
| Cover type | Softcover |
| EAN | 9786204861357 |