Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

As basic research, it has also received increasing attention from people that the “curse of
dimensionality” will lead to increase the cost of data storage and computing; it also …

Demand response programs offer efficient solutions for many power system problems, such
as high generation cost, high demand's peak to average ratio, high emissions, reliability …

The contribution of solar photovoltaics (PV׳ s) in generation of electric power is continually
increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model …

Distributed generation can be defined as power generation by small scale generating units
that are installed at distribution systems. The penetration of distributed generation (DG) units …

Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

Particle swarm optimisation (PSO) is a well-established optimisation algorithm inspired from
flocking behaviour of birds. The big problem in PSO is that it suffers from premature …

It is vital to balance the computation and communication load for the satisfactory
performance of large-scale parallel and distributed simulations deployed on shared …

A novel hybrid particle swarm and simulated annealing stochastic optimization method is
proposed. The proposed hybrid method uses both PSO and SA in sequence and integrates …

Water cycle algorithm (WCA) is a new population-based meta-heuristic technique. It is
originally inspired by idealized hydrological cycle observed in natural environment. The …