A Sectoring Genetic Algorithm for the Urban Waste Collection Problem

Authors:
M. T. Lamata;J. I. Peláez;Carles Sierra;J. M. Bravo
Affiliations:
-;-;-;-
Venue:
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
Year:
1999

Citing 1
Cited 0

A study of permutation crossover operators on the traveling salesman problem

Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application

Quantified Score

Hi-index	0.00

Visualization

Abstract

Urban waste collection is a problem that has been widely studied in the last decades. In this work, this problem is analysed and it is shown how traffic direction restrictions may be treated using work levels, so the obtained solutions are similar to those provided by experts. Also a genetic algorithm is introduced, which uses operators based on work levels and a fitness function based on an expansive competitive learning that characterises the optimal solution.