Multi-Objective Swarm Intelligent Systems

Call for Chapters

Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (Eds.)

Real-world engineering problems often require concurrent optimisation of several design objectives, which are conflicting in most of the cases. Such an optimisation is generally called multiobjective or multicriterion optimisation (MOO). On the other hand, swarm intelligence (SWI) is an innovative computational way to solving hard problems. This discipline is mostly inspired by the behaviour of ant colonies, bird flocks and fish schools and other biological creatures. In general, this is done by mimicking the behaviour of these swarms.

For this book, we seek original contributions on any aspect related to swarm intelligence approaches with multi-objective optimisation. Applications of multi-objective optimization using swarm intelligence to real-world systems are welcome. The topics of interest include, but are not limited to:

MOO/SWI-based fuzzy system design MOO/SWI-based system engineering MOO/SWI-based data mining MOO/SWI-based operational research methods MOO/SWI-based robotics

MOO/SWI-based neural network design MOO/SWI-based control systems Continuous MOO/SWI-based nonlinear identification and modeling Other applications of MOO/SWI

The time schedule for this publication is as follows:

1. Manuscript submission: May 7, 2008
2. Authors Notification: August 4, 2008
3. Camera-ready submission: October 6, 2008