Intrusion Detection systems are increasingly a key part of system defence. Various approaches to Intrusion Detection are currently being used but false alarm rate is higher in those approaches. Network Intrusion Detection involves differentiating the attacks like DOS, U2L, R2L and Probe from the Normal user on the internet. Due to the variety of network behaviors and the rapid development of at...

this paper presents a framework for long term transmission expansion planning in competitive, electricity markets. transmission lines and phase shifters are taken into account as expansion options. maximization of the network users' benefits, with satisfying security constraints are considered as the criterion for transmission expansion planning. the elements of the objective function are the...

Multi-agent control is a hot but challenging research topic which covers many research fields, such as evolutionary computation, machine learning, neural networks, etc.. Various approaches have been proposed to guide agents’ actions in different environments. Evolutionary Computation (EC) is often chosen to control agents’ behaviors since it can generate the best control policy through evolutio...

Research on stock price prediction and trading model using evolutionary computation has been done in recent years. As we know, prediction in the stock market is quite difficult for a number of reasons. First, the ultimate goal of our research is not to minimize the prediction error, but to maximize the profits. Second, the weak relationships among variables tend to be nonlinear, and they may ho...

This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downs...

To tailor highly-functionalized gold nanoparticle (GNP) networks, we investigated the GNP network formation with functionalized spacer group via click chemistry. This is based on its high reactivity and mild reaction conditions. The feature of this protocol is the easy approach to versatile GNP functionalization on the basis of the excellent accessibility and good stability of functional dialky...