Using the danger model of immune systems for distributed defense in modern data networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cooperative decision making in a knowledge grid environment
Future Generation Computer Systems
A Game Theoretic Approach to the Analysis of Dynamic Networks
Electronic Notes in Theoretical Computer Science (ENTCS)
Theoretical advances in artificial immune systems
Theoretical Computer Science
An Artificial Emergency-Logistics-Planning System for Severe Disasters
IEEE Intelligent Systems
An antibody network inspired evolutionary framework for distributed object computing
Information Sciences: an International Journal
Optimal scheduling of emergency roadway repair and subsequent relief distribution
Computers and Operations Research
A Transport Mode Selection Method for Multimodal Transportation Based on an Adaptive ANN System
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 03
An interactive co-evolutionary CAD system for garment pattern design
Computer-Aided Design
Expert Systems with Applications: An International Journal
Immune K-means and negative selection algorithms for data analysis
Information Sciences: an International Journal
A multi-modal immune algorithm for the job-shop scheduling problem
Information Sciences: an International Journal
Designing Multimodal Freight Transport Networks: A Heuristic Approach and Applications
Transportation Science
An immune inspired co-evolutionary affinity network for prefetching of distributed object
Journal of Parallel and Distributed Computing
Artificial immune algorithm for IIR filter design
Engineering Applications of Artificial Intelligence
Mathematical and Computer Modelling: An International Journal
Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Various disasters with serious results are reported and happen around our lives. Most of them are unconventional contingency events. Emergency relief is an important activity dealing with the disasters to transfer a large number of materials to the destroyed places for casualties and reconstruction for the country, even the world. Container multimodal transportation will play an important role because of its superior characteristics. The relations in the process of supply and transportation build up the container supply chain. It is critical to schedule the multimodal transportation flow of the chain with time efficiency of higher reliability. In this study, the system of container multimodal transportation emergency relief is modeled as an affinity network inspired by the immune system. An integer linear programming model is proposed to build the path selection for container supply chain in the context of emergency relief. The simulation study shows the promising effects of the model. The study is valuable for designing the emergency logistics management system with optimal path selection and flow design of container supply chain in disaster environments.