The special issue on hybrid intelligent systems using soft computing techniques comprises seven contributions, which are representative of the state of the art in this area. The papers describe different contributions to the area of hybrid intelligent systems with application on control, pattern recognition, time series prediction, and automation. In the papers, optimal combinations of intellig...

EVOLVING INTELLIGENT EMBODIED AGENTS WITHIN A PHYSICALLY ACCURATE ENVIRONMENT By Gene D. Ruebsamen December 2002 This thesis explores the application of evolutionary reinforcement learning techniques for evolving behaviorisms in embodied agents existing within a realistic virtual environment that are subject of the constraints as defined by the Newtonian model of physics. Evolutionary reinforce...

Traffic, transportation and logistics are important components of human life. Moreover, they are absolutely necessary for most social and economic activities. Traffic and transportation are both complex areas involving several decision levels, decision makers and customers. Both fields are also characterized by different uncertainties and considerable capital expenditures. To remain competitive...

Thesis Committee and providing invaluable suggestions and feedback on my research. I thank members of Intelligent System Laboratory who have worked with me. Special thanks to my colleagues: Yaohui Zeng, who worked with me on HVAC project and introduced me to this research area; Dr. Xiupeng Wei, who worked with me on wastewater project and shared his research experiences with me; Guanglin Xu, wh...

This paper presents the application of predictive control techniques using Artificial Neural Nets (ANN). The idea is illustrate the structure of the predictive controller and the optimization functions that is usually used to update the control action, then apply the ANN technique. The ANN equations and its gradient equations are developed. Based on the ANN capacity to predict, on a optimizatio...

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

this paper presents a new hybrid method for optimal multi-objective reconfiguration in a distribution feeder in addition to determining the optimal size and location of multiple-distributed generation (dg). the purposes of this research are mitigation of losses, improving the voltage profile and equalizing the feeder load balancing in distribution systems. to reduce the search space, the improv...

In an open electricity, when congestion occurs in a transmission time, it violates system security and system cost is increased. In a deregulated environment particularly, transmission congestion is one of the most prominent technical problems. Thus, while restructuring the power systems one of the important task of ISO/ TSO is to provide congestion free network. Generator rescheduling is the m...