This paper concerns with detailed analysis of the performance of self-adaptive evolutionary computation algorithms.Various causes of premature convergence in these methods have been established. Subsequently, formulation ...

Although the Internet an its array of services have revolutionised the world of information both in the areas of dissemination as well as seeking behaviour, this technology is yet to be properly exploited by the Librarians ...

Short term load forecasting for energy conservation is an ideal choice to keep load curve flat. In this paper, a novel neuro-fuzzy expert system for the initialization of connections and link weights of the neural network. ...

Recent research on self-adaptive evolutionary programming (EP) methods evidenced the problem of premature convergence. Self-adaptive evolutionary programming methods converge prematurely because their object variables ...

Selection of membership functions(MF)for a fuzzy logic controller(FLC)is an iterative and a time consuming task. This paper describes the use of genetic algorithm(GA)searcj strategy for optimizing MFs of antecedent and ...

Neural networks are analogous to biological systems, and intelligent control systems are but an attempt to emulate the logical powers of the human mind. Articles in this series are intended to demystify the various intricacies ...

This paper proposes an alternative method for extraction of narrow band signal contaminated with varying white noise power. A three layred feedforward network with one hidden layer is suggested in this paper. The internal ...

This paper describes the kinetics and dynamics of multiple robotic arms mounted on a mobile base and co-operatively handling a common object. The presence of closed kinematic chains along with a mobile base of comparable ...