This research paper deals with Distributed Reconfigurable Embedded Control Systems (RECS) which can dynamically follow different behaviors at run-time according to user requirements or any possible evolution in its environment. We optimize a multi-agent architecture for the system in which a Reconfiguration Agent is affected to each device to apply local reconfigurations, and a Coordination Age...

In this paper, the reconfiguration of distribution networks in order to optimize several aspects of its operation is presented. The proposed methodology based on genetic algorithms finds the optimal reconfiguration for networks which have a radial topology, taking in consideration the expected occurrence of voltage sags reduction and also the real power losses. The developed functions of the ge...

the present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. for this purpose, four objective functions have been considered simultaneously: i) maximizing the level of accordance between system design and optimum modularity design,ii) maximizing the level of accessibility and the maintenance space required,iii...

Recent FPGA architectures have shown an increased emphasis on run-time reconfiguration, or the ability to rapidly change the functionality of the FPGA to sequentially accommodate large processing tasks. In addition, partial reconfiguration allows for the reconfiguration of a portion of the FPGA while the remainder is running. These two features enable the use of reconfigurable computing in high...

In this paper, the problem of finding the optimal topological configuration of a deregulated distribution network is considered. The new features of this paper are proposing a multiobjective function and its application on deregulated distribution networks for finding the optimal configuration. The multi-objective function will be defined for minimizing total Energy Supply Costs (ESC) and energ...

This paper presents the method to solve the over loading problem and service restoration strategies for affected zones due to fault in a three feeder distribution network which deals with the estimation of load changes through feeder reconfiguration using the heuristic search technique. This method is based on minimum number of switching operations and minimum total IR losses. Software has been...

This paper presents an algorithm for network reconfiguration based on the heuristic rules and fuzzy multiobjective approach with an improved Fast Decoupled load flow algorithm. Multiple objectives are considered to minimize the real power loss, deviation in bus voltages, branch current violation and for load balancing among feeders, while subjected to a radial network structure in which all loa...

this paper explores the capabilities of multi-objective particle swarm optimization algorithmin a simulation-optimization model for solving waste load allocation problems. the main goals are totaltreatment costs, violation of the water quality standards and equity. in this research, the water qualitysimulation model is coupled with a multi-objective optimization model, mopso. in order to derive...

Dynamic reconfiguration is possible on both fine-grain and coarse-grain architectures. One of the used methodology used consists in the use of multi-context architectures. Unfortunately, the multiple contexts bring power and area overhead. This paper introduces the Dynamic Unifier and reConfigurable blocK (DUCK) concept, a new structure to perform efficiently dynamic reconfiguration on both cus...