Artificial Neural Network (ANN) design has long been a complex problem because its performance depends heavily on the network topology and algorithm to train the set of synaptic weights. Particle Swarm Optimization (PSO) has been the favored optimization algorithm to complement ANN, but a thorough literature study has shown that there are gaps with current approaches which integrate PSO with AN...

Faults can seriously damage high-voltage (HV) power systems, particularly if they occur on the long overhead transmission line (OHTL) that connects nuclear plant (NPP) to electrical grid. Finding OHTL problems quickly and accurately is essential for economy, safety, dependability of HV systems. It pinpoint problematic phase avoid unneeded outages. Thus, one most crucial research challenges now ...

In this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. Since cell formation problem is NP-Hard, two algorithms based on genetic and modified particle swarm optimization (MPSO) algorithms are developed to solve the problem. For generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

Leadin g you n g scien t ist s, m an y h oldin g prest igiou s Royal Societ y Research Fellow sh ips, describe t h eir research an d give t h eir vision s of t h e fu t u re. T h e art icles, w h ich h ave been re-w rit t en in a popu lar an d w ell-illu st rat ed st yle, are derived from sch olarly an d au t h orit at ive papers pu b-lish ed in a special M illen n iu m Issu e of t h e Royal So...

Inspired by the migratory behavior in the nature, a novel particle swarm optimization algorithm based on particle migration (MPSO) is proposed in this work. In this new algorithm, the population is randomly partitioned into several sub-swarms, each of which is made to evolve based on particle swarm optimization with time varying inertia weight and acceleration coefficients (LPSO-TVAC). At perio...