Title :
CoBRA: A cooperative coevolutionary algorithm for bi-level optimization
Author :
Legillon, François ; Liefooghe, Arnaud ; Talbi, El-Ghazali
Author_Institution :
LIFL, Univ. Lille 1, Villeneuve d´´Ascq, France
Abstract :
This article presents CoBRA, a new evolutionary algorithm, based on a coevolutionary scheme, to solve bi-level optimization problems. It handles population-based algorithms on each level, each one cooperating with the other to provide solutions for the overall problem. Moreover, in order to evaluate the relevance of CoBRA against more classical approaches, a new performance assessment methodology, based on rationality, is introduced. An experimental analysis is conducted on a bi-level distribution planning problem, where multiple manufacturing plants deliver items to depots, and where a distribution company controls several depots and distributes items from depots to retailers. The experimental results reveal significant enhancements, particularly over the lower level, with respect to a more classical approach based on a hierarchical scheme.
Keywords :
cooperative systems; evolutionary computation; goods distribution; manufacturing industries; optimisation; planning; CoBRA; bilevel distribution planning problem; bilevel optimization; cooperative coevolutionary algorithm; distribution company; experimental analysis; hierarchical scheme; item delivery; manufacturing plants; performance assessment methodology; population-based algorithm; Algorithm design and analysis; Companies; Electronic mail; Europe; Optimization; Routing; Vehicles; Algorithm design and analysis; Evolutionary computation; bi-level optimization; vehicle routing;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6256620