@Book{nedjah06a,
  editor =	 {Nadia Nedjah and Luiza M. Mouredelle},
  title =	 {Swarm Intelligence},
  publisher =	 {Springer},
  year =	 2006,
  abstract =	 {This volume offers a wide spectrum of sample works
                  developed in leading research throughout the world
                  about innovative methodologies of swarm intelligence
                  and foundations of engineering swarm intelligent
                  systems as well as applications and interesting
                  experiences using the particle swarm
                  optimisation. Swarm intelligence is an innovative
                  computational way to solve hard problems. In
                  particular, particle swarm optimization, also
                  commonly known as PSO, mimics the behavior of a
                  swarm of insects or a school of fish. If one of the
                  particle discovers a good path to food the rest of
                  the swarm will be able to follow instantly even if
                  they are far away in the swarm. Swarm behavior is
                  modeled by particles in multidimensional space that
                  have two characteristics: a position and a
                  velocity. These particles wander around the
                  hyperspace and remember the best position that they
                  have discovered. They communicate good positions to
                  each other and adjust their own position and
                  velocity based on these good positions.},
  isbn = 	 {354033868},
  url = 	 {http://jmvidal.cse.sc.edu/library/nedjah06a.pdf},
  keywords = 	 {swarm}
}