Mission Profiles and Evidential Reasoning for Estimating Information Relevancy in Multi-Agent Supervisory Control Applications C2 Architectures and Technologies

“The Evolution of C2” Mission Profiles and Evidential Reasoning for Estimating Information Relevancy in Multi-Agent Supervisory Control Applications C2 Architectures and Technologies

Comprehensive Decision Modeling of Reverse Logistics System: A Multi-criteria Decision Making Model by using Hybrid Evidential Reasoning Approach and TOPSIS (TECHNICAL NOTE)

In the last two decades, product recovery systems have received increasing attention due to several reasons such as new governmental regulations and economic advantages. One of the most important activities of these systems is to assign returned products to suitable reverse manufacturing alternatives. Uncertainty of returned products in terms of quantity, quality, and time complicates the decis...

Improving Agent Performance for Multi-Resource Negotiation Using Learning Automata and Case-Based Reasoning

In electronic commerce markets, agents often should acquire multiple resources to fulfil a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be coordinated with each other. In recent ...

Trade-offs Between Command and Control Architectures and Force Capabilities Using Battlespace Awareness

Information age organizations must effectively utilize new communications capabilities to gain an advantage over their competition. Command and Control (C2) research has demonstrated the potential for decentralization of C2 to improve mission performance in networked battlefields. However, it is unlikely that all future missions will be best executed with a decentralized C2 architecture. Theref...

Load-Frequency Control: a GA based Bayesian Networks Multi-agent System

Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...