A Metaheuristic Optimization is a group of algorithms that are widely studied and employed in the scientific literature. Typically, metaheuristics utilize stochastic operators make each iteration unique, they frequently contain controlling parameters have an impact on convergence process since their impacts mostly neglected most optimization literature, making it difficult to draw conclusions. ...

The null-brane background is a simple smooth 1/2 BPS solution of string theory. By tuning a parameter, this background develops a big crunch/big bang type singularity. We construct the DLCQ description of this space-time in terms of a Yang-Mills theory on a time-dependent space-time. Our dual Matrix description provides a nonperturbative framework in which the fate of both (null) time, and the ...

We show that a class of 3+1 dimensional Friedmann-RobertsonWalker cosmologies can be embedded within a variety of solutions of string theory. In some realizations the apparent singularities associated with the big bang or big crunch are resolved at non-singular horizons of higher-dimensional quasi-black hole solutions (with compactified real time); in others plausibly they are resolved at D-bra...

Modern power system networks are operated under highly stressed conditions and there is a risk of voltage instability problems owing to increased load demand. A power system needs to be with sufficient voltage stability margin for secured operation. In this study, SVC parameters of location and size along with generator bus voltages, transformer tap settings are considered as control parameters...

Transmission congestion is the major challenge in the operation of competitive power market. Sufficient transmission corridor is necessary for realization of power transaction. This paper proposes an efficient approach for transmission congestion management using the Black Hole Algorithm (BHA). Congestion is relieved by rescheduling of real power from the market clearing schedule. BHA is a rece...