Skip to Content

  Artificial Life: Particle Swarm: Papers

Papers (Subscribe)


2002 - Adaptive Control Utilising Neural Swarming

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.

Review It Rate It Bookmark It

2001 - Practical Distribution State Estimation Using Hybrid Particle Swarm Optimization

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.

Review It Rate It Bookmark It

2000 - Cooperative Learning in Neural Networks using Particle Swarm Optimizers

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.

Review It Rate It Bookmark It

1995 - Particle Swarm Optimization

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.

Review It Rate It Bookmark It