Proceedings of the Genetic and Evolutionary Computation Conference Companion | 2019
A honeybee mating optimization algorithm for solving the static bike rebalancing problem
Abstract
This paper proposes a new approach to solve the Bike Rebalancing Problem (BRP) based on the Honey-Bee Mating Optimization (HBMO) algorithm. The aim is to reduce the overall traveling cost of redistribution operations under various constraints. The performance of the proposed algorithm is evaluated using a set of benchmark instances for the BRP. Preliminary results are obtained and showed that the proposed approach is promising.