id: 06089820
dt: a
an: 06089820
au: Simić, Dragan; Simić, Svetlana
ti: Hybrid artificial intelligence approaches on vehicle routing problem in
    logistics distribution.
so: Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th
    international conference, HAIS 2012, Salamanca, Spain, March 28‒30,
    2012. Proceedings, Part I. Berlin: Springer (ISBN
    978-3-642-28941-5/pbk). Lecture Notes in Computer Science 7208. Lecture
    Notes in Artificial Intelligence, 208-220 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: logistics distribution; vehicle routing problem; bio-inspired models;
    genetic algorithms; artificial immune systems; hybrid artificial
    intelligence
ci: 
li: doi:10.1007/978-3-642-28942-2_19
ab: Summary: Biological intelligence for modelling and optimization on vehicle
    routing problem of logistics distribution and supply chain management
    systems are presented in this paper. Logistics distribution is
    adaptive, dynamic, and open self-organizing system, which is maintained
    by flows of information, materials, goods, funds, and energy. The aim
    of this research is to summarize different individual bio-inspired
    methods, evolutionary computing, genetic algorithm, ant colony
    optimization, artificial immune systems, and to obtain power extension
    of these hybrid approaches. In general, these bio-inspired hybrid
    approaches are more competitive than the classical problem-solving
    methodology including improvement heuristics methods or individual
    bio-inspired methods and their solutions in logistics distribution and
    supply chain management applications.
rv: