A concept for the optimization of nonlinear functions using particle swarm methodology by James Kennedy and Russell Eberhart. This is the first paper talking about PSO.

PSO is modified to deal with permutation set.

multiobjective optimization with PSO.

PSO is used to solve engineering problems with multiple non-linear constraints.

A paper by Jame Kennedy and William Spears

A paper by Frans van den Bergh and Andries P. Engelbrecht, South Africa. The interesting point is that they split the input vectors to several sub-vectors, each which is optimized cooperatively in its own swarm.

A hybrid PSO is proposed by introduction of the natural selection mechanism. The authors demonstrated hybrid PSO is better than original version on distribution state estimation problems.

Application of PSO on reactive power and voltage control.

A paper by Yuhui Shi and Russell C. Eberhart.

PSO is used to adjust the network weights, with the Adaptive Neural Swarming method, the controller could adapt to environmental changes. It is tested in a real-world task of controlling a simulated non-linear bioreactor.