The third affiliation of the paper should have been completed in our original article [...]

Swarm Intelligence (SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is normally no centralized control structure dictating how individual agents should behave, local i...

RSs (Radar Systems) identify and trace targets are commonly employed in applications like air traffic control remote sensing. They necessary for monitoring precise target trajectories. Estimations of non-linear as the parameters TDEs (time delay Estimations) Doppler shifts computed on receipt echoes where EKFs (Extended Kalman Filters) UKFs (Unscented have not been examined computations. RSs, c...

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

Covariate shift is a fundamental problem for learning in non-stationary environments where the conditional distribution ppy|xq is the same between training and test data while their marginal distributions ptrpxq and ptepxq are different. Although many covariate shift correction techniques remain effective for real world problems, most do not scale well in practice. In this paper, using inspirat...

differential steering of in-wheel electric vehicle provides the functions of both active steering and power assisted steering with the coupling control of force and displacement transfer characteristic of system. a collaborative optimization model of the differential power-assisted steering system of in-wheel electric vehicle is built, with steering economy as the main system optimization goal,...

We find substantial herding in U.S. corporate bonds among bond fund managers, much higher than that previously documented for the equity market. Herding is generally stronger among illiquid bonds, and buy herding and sell herding are driven by different factors. In particular, sell herding increases on negative news about bond ratings and corporate earnings. Interestingly, increases in ex-post ...

In this paper, we are interested in the factors that influence herding behavior in P2P lending marketplaces. We are using data from Prosper.com to examine whether internal market specific factors and external economic factors influence the amount of herding exhibited in the market. We also investigate what consequences herding has and how marketplace participants can benefit or suffer from herd...