Optimizing two-level reverse distribution networks with hybrid memetic algorithms.
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Date
2013
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Abstract
In a Two-Level Reverse Distribution Network, products are returned from
customers to manufacturers through collection and refurbishing sites. The costs of the
reverse chain often overtake the costs of the forward chain by many times. With some
known algorithms for the problem as reference, we propose a hybrid memetic algorithm
that uses linear programming and a heuristic for defining routes. Moreover, we
describe heuristics for deciding locations, algorithms to define routes for the products,
and problem-specific genetic operators. Memetic algorithms have returned the best
results for all instances.
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Keywords
Evolutionary computation, Memetic algorithms, Reverse distribution networks, Logistics
Citation
FREITAS, A. R. R. de et al. Optimizing two-level reverse distribution networks with hybrid memetic algorithms. Optimization Letters, v. 8, n. 2, p. 753-762, fev. 2013. Disponível em: <http://link.springer.com/article/10.1007/s11590-013-0615-8>. Acesso em: 15 fev. 2017.