Business Intelligence (BI) systems plays a vital role in effective decision making in order to improve the business performance and opportunities by understanding the organization’s environments through the systematic process of information. The development of BI systems is limited due to its huge development costs. Developing the complex systems with Self Organized Multi Agent technology would...

Artificially intelligent agents are enjoying increased adoption in both the video game and simulation industry - being used for training education as well entertainment purposes with largescale real-time strategy games. Both type of systems have a need large numbers units. While traditional scalability solutions (e.g. segmenting terrain using separate hardware to process various sections) can b...

in this research, both resource allocation and reactive resource allocation problems in multi-server dynamic pert networks are analytically modeled, where new projects are expected to arrive according to a poisson process, and activity durations are also known as independent random variables with exponential distributions. such system is represented as a queuing network, where multi servers at ...

Agent-based information retrieval systems have gained great attentions due to the proliferation of readily available, but overwhelming information on the distributed network environments such as the Web. Agents are often developed not in isolation but as part of a multi-agent system. In this paper, we present a neural network based multi-agent, especially hierarchically organized, information r...

numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of multi-objective optimization (moo) had arisen several years ago. due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by swarm intelligence (si) techniques. particle swarm optimization (pso) has ...