Aiming at improving search efficiency limitations of canonical real coded genetic algorithm, this paper improves three aspects for the canonical real coded genetic algorithm, that are initial population generating, overall process of algorithm and the mutation operator, then puts forward an improved real coded genetic algorithm. This improved algorithm combines the series operation and parallel...

We study the problem of private function retrieval (PFR) in a distributed storage system. In PFR the user wishes to retrieve a linear combination of M messages stored in noncolluding (N,K) MDS coded databases while revealing no information about the coefficients of the intended linear combination to any of the individual databases. We present an achievable scheme for MDS coded PFR with a rate t...

The study presents an optimal design of simply supported rectangular reinforced concrete beams based on the ultimate limit state philosophy BS8110 and using genetic algorithm as optimization tool. An model was formulated. consists objective function which focuses minimizing steel ratio constraint equations are focused checking that all requirements for satisfied. Results obtained showed a diffe...

Abstract:   The use of Concrete beams reinforced with a combination of fiber reinforced polymer (FRP) and steel bars has increased dramatically in recent years, due to improvement in strength and flexural ductility simultaneously. In this paper, we proposed a new equation for estimating the effective moment of inertia of hybrid FRP-steel reinforced concrete (RC) beams on the basis of the...

Multilayer perceptrons (MLPs) are widely used for pattern classification and regression problems. Backpropagation (BP) algorithm is known technique in the training of multilayer perceptrons. However for its optimum training convergence, the learning and momentum parameters need to be tuned on trial and error method. Further, sometimes the backpropagation algorithm fails to achieve global conver...