in this paper, the unified power flow controller (upfc) is enhanced with a chaotic particle swarm optimization (cpso) damping controller in order to mitigate the low frequency oscillations (lfo) in a single machine infinite bus (smib) power system. the designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...

We propose a predictive-reactive approach for the single machine problem. It constructs a set of schedules following a partial order and, every time a decision should be taken, uses the temporal flexibility and the flexibility in job sequencing introduced to provide the decision-maker a set of alternatives, compatible with the modeled constraints.

We consider the single-machine sequencing model with stochastic processing times and the problem of minimizing the number of stochastically tardy jobs. In general, this problem is NP-hard. Recently, however, van den Akker and Hoogeveen found some special cases that could be solved in polynomial time. We generalize their findings by providing a polynomial time solution for any stochastically ord...

Advances in next-generation sequencing technologies have enabled the identification of multiple rare single nucleotide polymorphisms involved in diseases or traits. Several strategies for identifying rare variants that contribute to disease susceptibility have recently been proposed. An important feature of many of these statistical methods is the pooling or collapsing of multiple rare single n...

A variety of methods that predict human nonsynonymous single nucleotide polymorphisms (SNPs) to be neutral or disease-associated have been developed over the last decade. These methods are used for pinpointing disease-associated variants in the many variants obtained with next-generation sequencing technologies. The high performances of current sequence-based predictors indicate that sequence d...

We study classic machine sequencing problems in an online setting. Specifically, we look at deterministic and randomized algorithms for the problem of scheduling jobs with release dates on identical parallel machines, to minimize the sum of weighted completion times: Both preemptive and non-preemptive versions are analyzed. Using linear programming techniques, borrowed from the single machine c...

Production scheduling deals with scheduling production jobs on a machine (single or multiple) in order to optimise a specific objective such as total weighted completion times or total weighted tardiness. The assumption that machines are always available for processing jobs is generally used in the production scheduling literature. In reality, machines often are unavailable due to preventive ma...

Recently, we demonstrated chromosome instability (CIN) in human cleavage stage embryogenesis following in vitro fertilization (IVF). CIN not necessarily undermines normal human development (i.e. when remaining normal diploid blastomeres develop the embryo proper), however it can spark a spectrum of conditions, including loss of conception, genetic disease and genetic variation development. To s...

the problem of determining the sequence of a set of jobs with the objective function of minimizing the maximum earliness and tardiness in one machine is studied. production systems like jit are one of the many applications of the problem. this problem is studied in special cases and their optimal solutions are introduced with simple orders. in general, some effective conditions for neighboring ...