Algorithms are used to optimize both single and multi-objective system limits. This research aimed to detect the …. The research uses binary particle swarm optimization and shuffled frog leap (BPSO-SLFA) algorithms for simulation and … testing of an optimal power flow (OPF) on 33 and 69 bus radial distribution system. The result shows that the algorithms give …

will present a general mathematical programming algorithm which can be applied to find an element in the interval core. As …

-called peer group games being non-negative additive games on a permission tree. We provide a polynomial time algorithm for …

discharging time with the grid load and the renewable energy production. Algorithms are required to develop tariffs and evaluate …. Therefore a combinatorial optimisation algorithm is developed and an algorithm based on graph search is used and customised …. Both algorithms are explained and compared by performance and adequate applications. The developing approach and the …

prove this we use a simplicial algorithm that terminates with a zero point within a finite number of iterations. The …

Prefetching is a simple and general method for single-chain parallelisation of the Metropolis-Hastings algorithm based … algorithms are presented and evaluated. It is shown how to use available information to make better predictions of the future … random walk Metropolis-Hastings algorithm is obtained for a special case and it is shown to decrease in the number of …

review the papers that have addressed the allocation problem using cooperative game theory. We also relate the rules defined … through cooperative games with rules defined directly from the problem, either through algorithms for computing a minimal tree …

This note is concerned with estimating censored quantile regressions (CQR). As its major contribution, a' new algorithm …, called BRCENS, is developed as an adaption of the Barrodale-Roberts algorithm for the standard quantile regression problem …. In a subsequent simulation study, BRCENS performs well in comparison with the iterative linear programming algorithm …