A novel intelligent neural optimizer with two objective functions is designed for electrical distribution systems. The presented method is faster than alternative optimization methods and is comparable with the most powerful and precise ones. This optimizer is much smaller than similar neural systems. In this work, two intelligent estimators are designed, a load flow program is coded, and a spe...

their preferences on those product dimensions. Since a single commodity market is made up of many heterogeneous goods that are close to each other but different in grade, quality and delivery conditions, preference satisfaction plays an important role in improving trade matches. In cotton markets, for instance, a cotton merchant may want to specify his preferences like " I prefer early delivery...

This paper proposes an intelligent combination of neural network theory and financial statistics for the detection of statistical arbitrage opportunities in specific pairs of stocks. The proposed intelligent methodology is based on a class of neural network-GARCH autoregressive models for the effective handling of the dynamics related to the statistical mispricing between relative stock prices....

Trading of resources is an important sociological behaviour that is believed to be indicative of intelligent life forms, but which is non-trivial to model successfully. We have incorporated trading of resources that are critical to the survival of predator agents in a spatial predator-prey animat simulation model. We find that predator agents adapt to trade with one another in the face of extin...

Agent-based computational economics acknowledges the distributed nature of trading in financial markets by modeling the markets as evolving systems of autonomous, interacting agents that correspond to the trading parties. Conventionally, the behavior of traders has been described mathematically, and the market system is analyzed at equilibrium conditions. The dynamics of price formation, howeve...

the control of car following is essential due to its safety and its operational efficiency. for this purpose, this paper builds a model of car following behavior based on armax structure from a real traffic dataset and design a model predictive control (mpc) system. based on the relative distance and relative acceleration of each instant, the mpc predicts the future behavior of the leader vehic...

The overall objective of the INKASS ("Intelligent Knowledge Asset Sharing and Trading") project is to develop an intelligent Internet-based marketplace of knowledge assets. At the core of our technological approach stands a case-based reasoning approach for ascertaining knowledge assets for relevant user contexts and a comprehensive metadata description of information objects which represent tr...