TY - JOUR
T1 - Modeling the problem of locating collection areas for urban waste management. An application to the metropolitan area of Barcelona
AU - Bautista, Joaquín
AU - Pereira, Jordi
N1 - Funding Information:
This work was partially funded by CYCIT grant BEC2003-03809, and Science and Technology grant TIC2002-10886E.
PY - 2006/12
Y1 - 2006/12
N2 - Reverse logistics problems arising in municipal waste management are both wide-ranging and varied. The usual collection system in UE countries is composed of two phases. First, citizens leave their refuse at special collection areas where different types of waste (glass, paper, plastic, organic material) are stored in special refuse bins. Subsequently, each type of waste is collected separately and moved to its final destination (a recycling plant or refuse dump). The present study focuses on the problem of locating these collection areas. We establish the relationship between the problem, the set covering problem and the MAX-SAT problem and then go on to develop a genetic algorithm and a GRASP heuristic to, respectively, solve each formulation. Finally, the quality of the algorithms is tested in a computational experience with real instances from the metropolitan area of Barcelona, as well as a reduced set of set covering instances from the literature.
AB - Reverse logistics problems arising in municipal waste management are both wide-ranging and varied. The usual collection system in UE countries is composed of two phases. First, citizens leave their refuse at special collection areas where different types of waste (glass, paper, plastic, organic material) are stored in special refuse bins. Subsequently, each type of waste is collected separately and moved to its final destination (a recycling plant or refuse dump). The present study focuses on the problem of locating these collection areas. We establish the relationship between the problem, the set covering problem and the MAX-SAT problem and then go on to develop a genetic algorithm and a GRASP heuristic to, respectively, solve each formulation. Finally, the quality of the algorithms is tested in a computational experience with real instances from the metropolitan area of Barcelona, as well as a reduced set of set covering instances from the literature.
KW - GRASP
KW - Genetic algorithms
KW - Location
KW - MAX-SAT
KW - Municipal waste management
KW - Set covering
UR - http://www.scopus.com/inward/record.url?scp=31044447366&partnerID=8YFLogxK
U2 - 10.1016/j.omega.2005.01.013
DO - 10.1016/j.omega.2005.01.013
M3 - Article
AN - SCOPUS:31044447366
SN - 0305-0483
VL - 34
SP - 617
EP - 629
JO - Omega (United Kingdom)
JF - Omega (United Kingdom)
IS - 6
ER -