distance relays are used to protect ehv and hv transmission lines. over the past decades many algorithms have emerged for digital distance relays. these are based on the calculation of the transmission line impedance from the relaying to fault points. in this paper a novel method for digital distance relaying is proposed. in the method the tracking procedure is implemented. the method uses the ...

In this paper three methods for on-line identification of first markov parameter at linear multivariable plants are presented. In these methods input-output data are used far the on-line identification of the first markov parameter.

In this paper, a new hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems. This new method can generate sufficient descent directions unrelated to any line search. Moreover, the global convergence of the proposed method is proved under the Wolfe line search. Numerical experiments are also presented to show the efficiency of the proposed algorithm, espe...

This paper deals with various ways of using multiobjective (vector) optimization in assembly line optimization problem. Nowadays, there are two main approaches to solve multi-objective optimization tasks: artificial intelligence approach using mainly evolutionary algorithms; and mathematical approach based on detail mathematic description of optimized assembly line. This paper is summarizing kn...

Nowadays, due to inherent complexity of real optimization problems, it has always been a challenging issue to develop a solution algorithm to these problems. Single row facility layout problem (SRFLP) is a NP-hard problem of arranging a number of rectangular facilities with varying length on one side of a straight line with aim of minimizing the weighted sum of the distance between all facility...

The gaining returns in line with risks is always a major concern for market play-ers. This study compared the selection of stock portfolios based on the strategy of buying and retaining winning stocks and the purchase strategy based on the level of investment risks. In this study, the two-step optimization algorithms NSGA-II and SPEA-II were used to optimize the stock portfolios. In order to de...

We consider a family of damped quasi-Newton methods for solving unconstrained optimization problems. This family resembles that of Broyden with line searches, except that the change in gradients is replaced by a certain hybrid vector before updating the current Hessian approximation. This damped technique modifies the Hessian approximations so that they are maintained sufficiently positive defi...