TY - JOUR
KW - Greedy Randomized
KW - Probabilistic Learning
KW - Cycle Location Problem
AU - Israel López-Plata
AU - Christopher Expósito-Izquierdo
AU - Eduardo Lalla-Ruiz
AU - Belén Melián-Batista
AU - J. Marcos Moreno-Vega
AB - In this paper, we address the Uncapacitated Plant Cycle Location Problem. It is a location-routing problem aimed at determining a subset of locations to set up plants dedicated to serving customers. We propose a mathematical formulation to model the problem. The high computational burden required by the formulation when tackling large scenarios encourages us to develop a Greedy Randomized Adaptive Search Procedure with Probabilistic Learning Model. Its rationale is to divide the problem into two interconnected sub-problems.
The computational results indicate the high performance of our proposal in terms of the quality of reported solutions and computational time. Specifically, we have overcome the best approach from the literature on a wide range of scenarios.
IS - Regular Issue
M1 - 2
N2 - In this paper, we address the Uncapacitated Plant Cycle Location Problem. It is a location-routing problem aimed at determining a subset of locations to set up plants dedicated to serving customers. We propose a mathematical formulation to model the problem. The high computational burden required by the formulation when tackling large scenarios encourages us to develop a Greedy Randomized Adaptive Search Procedure with Probabilistic Learning Model. Its rationale is to divide the problem into two interconnected sub-problems.
The computational results indicate the high performance of our proposal in terms of the quality of reported solutions and computational time. Specifically, we have overcome the best approach from the literature on a wide range of scenarios.
PY - 2023
SE - 123
SP - 123
EP - 133
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location Problem
UR - https://www.ijimai.org/journal/sites/default/files/2023-05/ijimai8_2_12.pdf
VL - 8
SN - 1989-1660
ER -