A new optimization algorithm for the vehicle routing problem with time windows
Operations Research
Introduction to Multiagent Systems
Introduction to Multiagent Systems
2-Path Cuts for the Vehicle Routing Problem with Time Windows
Transportation Science
Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching
Transportation Science
Negotiation within a multi-agent system for the collaborative design of light industrial buildings
Advances in Engineering Software
Developing Intelligent Agent Systems: A Practical Guide
Developing Intelligent Agent Systems: A Practical Guide
Real-Time Multivehicle Truckload Pickup and Delivery Problems
Transportation Science
Applying multi agent techniques to reconfigurable systems
Advances in Engineering Software
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
The Shortest-Path Problem with Resource Constraints and k-Cycle Elimination for k ≥ 3
INFORMS Journal on Computing
A platform-independent metamodel for multiagent systems
Autonomous Agents and Multi-Agent Systems
Realization of multi-agent planning system for autonomous spacecraft
Advances in Engineering Software
International Journal of Data Analysis Techniques and Strategies
Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection
Expert Systems with Applications: An International Journal
Hierarchical multi-agent distribution planning
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
An argumentation-oriented multi-agent system for automating the freight planning process
Expert Systems with Applications: An International Journal
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The operational decisions of today's logistics sector have many difficulties such as dynamism of the order attributes and environmental changes. This sector is generally operating under unpredictable environments and having high degree of complex interactions. The dispatch officers especially have difficulties while making load/capacity/route planning and load consolidation decisions. They use numerous alternative consolidation techniques in order to be cost effective during their decisions such as time based consolidation or quantity based consolidation or both of them simultaneously. In this paper we propose a multi-agent based load consolidation decision making approach. In the proposed approach the load consolidation decisions for the less-than-truckload orders are made by the software agents. The less-than-truckload orders are assigned/consolidated to the trucks by the negotiation mechanism constructed within the model.