Evolutionary approach in inventory routing problem

Authors:
Dragan Simić;Svetlana Simić
Affiliations:
Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
Venue:
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Year:
2013

Citing 7
Cited 0

Algorithms for the vehicle routing and scheduling problems with time window constraints

Operations Research
A coordinated approach to hedge the risks in stochastic inventory-routing problem

Computers and Industrial Engineering
A Branch-and-Cut Algorithm for a Vendor-Managed Inventory-Routing Problem

Transportation Science
Editorial: Hybrid intelligent algorithms and applications

Information Sciences: an International Journal
A genetic algorithm for the simultaneous delivery and pickup problems with time window

Computers and Industrial Engineering
Hybrid artificial intelligence approaches on vehicle routing problem in logistics distribution

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks

Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most companies recognize the need for the integration and coordination of various components in logistics and supply chain management as an important factor. This paper presents an evolutionary approach to modeling and optimization on inventory routing problem of inventory management, logistics distribution and supply chain management. The aim of this research is to present different individual evolutionary approach, and to obtain power extension of these hybrid approaches. In general, these evolutionary hybrid approaches are more competitive than classic problem-solving methodology including improved heuristics methods or individual bio-inspired methods and their solutions in inventory management, logistics distribution and supply chain.