Data structures and algorithms with object-oriented design patterns in C++
Data structures and algorithms with object-oriented design patterns in C++
Algorithms of distributed task allocation for cooperative agents
Theoretical Computer Science
On Load Balancing for Distributed Multiagent Computing
IEEE Transactions on Parallel and Distributed Systems
Agent-Based Load Balancing on Homogeneous Minigrids: Macroscopic Modeling and Characterization
IEEE Transactions on Parallel and Distributed Systems
Load Balancing in a Cluster-Based Web Server for Multimedia Applications
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Extracting social laws from unilateral binary constraint relation topologies in multiagent systems
Expert Systems with Applications: An International Journal
Multiagent reinforcement learning and self-organization in a network of agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Compatibility between the local and social performances of multi-agent societies
Expert Systems with Applications: An International Journal
Interorganizational Workflow Execution Based on Process Agents and ECA Rules
IEICE - Transactions on Information and Systems
Contextual Resource Negotiation-Based Task Allocation and Load Balancing in Complex Software Systems
IEEE Transactions on Parallel and Distributed Systems
Adaptive load balancing: a study in multi-agent learning
Journal of Artificial Intelligence Research
Methods for task allocation via agent coalition formation
Artificial Intelligence
Concurrent collective strategy diffusion of multiagents: the spatial model and case study
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
A multi-agent coordination model for the variation of underlying network topology
Expert Systems with Applications: An International Journal
Optimal Resource Placement in Structured Peer-to-Peer Networks
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Autonomic mobile sensor network with self-coordinated task allocation and execution
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Implementation of a Remote Hierarchical Supervision System Using Petri Nets and Agent Technology
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Coalition Formation for Resource Coallocation Using BDI Assignment Agents
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Cluster partition-based communication of multiagents: The model and analyses
Advances in Engineering Software
A tag-based solution for data sensing conflicts in multiple sensing agent systems
Advances in Engineering Software
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With the development of large scale multiagent systems, agents are always organized in network structures where each agent interacts only with its immediate neighbors in the network. Coordination among networked agents is a critical issue which mainly includes two aspects: task allocation and load balancing; in traditional approach, the resources of agents are crucial to their abilities to get tasks, which is called talent-based allocation. However, in networked multiagent systems, the tasks may spend so much communication costs among agents that are sensitive to the agent localities; thus this paper presents a novel idea for task allocation and load balancing in networked multiagent systems, which takes into account both the talents and centralities of agents. This paper first investigates the comparison between talent-based task allocation and centrality-based one; then, it explores the load balancing of such two approaches in task allocation. The experiment results show that the centrality-based method can reduce the communication costs for single task more effectively than the talent-based one, but the talent-based method can generally obtain better load balancing performance for parallel tasks than the centrality-based one.