Cognitive Radio Network (CRN) has an important role in next generation wireless

networks; it can potentially provide higher performance of wireless communication

networks in terms of reliability, scalability, stability and spectrum efficiency.

Cognitive radio networks are on the basis of radio nodes equipped with a cognitive

engine (CE); it can manage spectrum and change transmission parameters using

artificial intelligence methods in particular bio-inspired optimization methods.

This study investigates spectrum management problem in cognitive ad hoc network

in particular mobile ad hoc network with cognitive nodes. The spectrum

management problem can be summarized as channel allocation and cluster

formation problems that are both multi-objective combinatorial optimization

problems, which can be addressed with bio-inspired optimization algorithms, i.e.,

genetic algorithms and swarm intelligence methods. In this thesis the focus are on

the convergence characteristics and multi-objective functions.