We present a new optimization technique based on the Particle Swarm Optimization algorithm to be used for solving problems with unordered discrete-valued solution elements. The algorithm achieves comparable performance to both the previous modification of PSO for binary optimization and to genetic algorithms on a standard set of benchmark problems. Performance is maintained on these problems re...

i ACKNOWLEDGEMENT I would like to express my never ending gratitude to my advisor and committee chair, Professor Guoxiang Gu for his guidance, and constant motivation towards the completion of this thesis. His technical advice and suggestions helped me to overcome hurdles and kept me enthusiastic and made this work a wonderful learning experience. In addition, I would like to thank my committee...

This tutorial paper discusses the known representations based on Binary Decision Diagrams (BDDs) for various types of discrete objects: incompletely specified functions, sets, finite state machines, binary and multi-valued relations, etc. While presenting the known material, the emphasis is on those aspects of implicit representations that are important to achieve speed-up in computation. The n...

This paper is concerned with the distributed fusion estimation problem for discrete-time linear stochastic multi-delayed systems with multiple sensors and correlated noise. Firstly, a new optimal filter in the least mean square sense is presented for discrete stochastic multi-delayed systems with a single sensor, where the white noise filter is used to obtain the optimal state estimate. Then, a...

The paper focuses on the application of a multi-agent system for a management process. The presented system is working on the structure of graph, where nodes represent decision modules and edges – technological processes. Kinds of agents working in such environment are presented and an overview of the interaction protocols which can be used in such a system is given.

This paper deals with robust synchronization of directed and undirected multi-agent networks with uncertain agent dynamics. Given a networkwith identical nominal dynamics, we allow uncertainty in the form of coprime factor perturbations of the transfer matrix of the agent dynamics. These perturbations are assumed to be stable and have H∞-norm that is bounded by an a priori given desired toleran...

In this paper, we address the problem of generating a queryspecific extractive summary in a an efficient manner for a given set of documents. In many of the current solutions, the entire collection of documents is modeled as a single graph which is used for summary generation. Unlike these approaches, in this paper, we model each individual document as a graph and generate a query-specific summ...

multi frequency vibrations of a system of two isotropic circular plates interconnected by a rolling visco-elastic layer that has nonlinear characteristics are considered. the system with two circular plates and interconnecting discrete continually distributed rolling visco nonlinear elastic rheological elements presents the model of hybrid nonlinear system. the analytical solutions of first asy...

since the analysis of complex services systems by using mathematical modeling techniques, with considering the random patterns prevailing in them, is so difficult or probably impossible, improvement guidelines are often followed based on the experts' experiences using qualitative methods. in the present paper, by employing a discrete event computer simulation methodology, criminal trial sy...

This work addresses the problem of estimating the state in multi-agent decision and control systems. In particular, a novel approach to state estimation is developed that uses partial order theory in order to overcome some of the severe computational complexity issues arising in multi-agent systems. Within this approach, state estimation algorithms are developed, which enjoy proved convergence ...