Download e-book for iPad: Swarm Stability and Optimization by Veysel Gazi, Kevin M. Passino

By Veysel Gazi, Kevin M. Passino

ISBN-10: 364218040X

ISBN-13: 9783642180408

ISBN-10: 3642180418

ISBN-13: 9783642180415

Swarming species corresponding to flocks of birds or faculties of fish exhibit
fascinating collective behaviors in the course of migration and predator
avoidance. equally, engineered multi-agent dynamic platforms resembling teams of self sustaining flooring, underwater, or air autos (“vehicle swarms”) show subtle collective behaviors whereas maneuvering.
In this booklet we express tips on how to version and regulate a variety of such
multi-agent dynamic platforms and research their collective behavior
using either balance theoretic and simulation-based methods. In
particular, we examine difficulties similar to team aggregation, social
foraging, formation keep watch over, swarm monitoring, disbursed agreement,
and engineering optimization encouraged via swarm behavior.

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Extra resources for Swarm Stability and Optimization

Example text

The authors show the existence of a transition from individual random walks to collective migration. Similarly, Vicsek et al. in [251], which is a work which has caught attention of the engineering community in the recent years, introduce a simple simulation model for system of self-driven particles. They assume that particles are moving with constant absolute velocity and at each time step assume the average direction of motion of the particles in its neighborhood with some random perturbation.

These methods are direct search methods which have been inspired by the foraging behavior of swarms in nature. In other words, they are based on mimicing (to some extend) the behavior of foraging behavior of swarms in nature. Beside their ease of implementation, empirical studies have demonstrated that the presented bioinspired optimization algorithms have effective performance. Moreover, they can be implemented on parallel and asynchronous computing systems. Below we briefly specify the basic optimization (function minimization) problem.

Such shape changes might be needed due to task requirements or might occur as a reaction to environmental changes. For example, a swarm moving in a triangular formation might need to switch to a line formation when passing through a narrow passage in which it is impossible to keep the initial formation, and to switch back after clearing the passage. 4 Distributed Agreement An important and amazing feature of swarms in nature is that they usually have the capacity to achieve agreement on a common global variable in a distributed manner using only local limited information and local interactions.

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Swarm Stability and Optimization by Veysel Gazi, Kevin M. Passino


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