Logistics Optimization Service Improved with Artificial Intelligence

Today the issue of logistics is a very important within companies to the extent that some have departments devoted exclusively to it. This has evolved over time and today is a fundamental aspect in the fight business seeking to consolidate or remain leaders in their field. With the above we know that logistics can be divided into different classes, however, in this regard, our study is based on the timely distribution to the customer with a lower cost, higher sales and better utilization of space resulting in excellent service. Finally, prepare a comparative analysis of the results with respect to another method of optimization solution space.

[1]  Belur V. Dasarathy.  Data Mining and Knowledge Discovery: Theory, Tools, and Technology III , 2001 .

[2]  Robert G. Reynolds,et al.  Problem solving using cultural algorithms , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[3]  Angel Eduardo Muñoz Zavala,et al.  Constrained optimization via particle evolutionary swarm optimization algorithm (PESO) , 2005, GECCO '05.

[4]  Ajith Abraham,et al.  Swarm Intelligence in Data Mining , 2009, Swarm Intelligence in Data Mining.

[5]  Rojas López,et al.  Uso de la Minería de Datos con Fines Predictorios de la Infraestructura de Seguridad de Redes , 2004 .

[6]  Robert Whallon,et al.  Emergent Social Structures in Cultural Algorithms , 2005 .

[7]  Hugo Tobar Vega.  Investigación de operaciones , 1987, Manual práctico de investigacion de Operaciones I 4ta edición.