This paper is based on swarm intelligence and chaotic dynamics for learning. We address this issue by considering the problem of path planning for mobile robots. Autonomous systems assume intelligent behavior with ability of dealing in complex and changing environments. Path planning problem, which can be studied as an optimization problem, seems to be of high importance for arising of intellig...

The paper presents a new algorithm for circuit partitioning that exploits some of the latest innovations of evolutionary approaches. The proposed algorithm based on swarm intelligence technique hybrids discrete version of artificial bee colony algorithm with Inver over operator along with simulated annealing technique for local improvement of solution. The algorithm is tested on small UCLA inst...

One of the essential parts of the software development process is software testing as it ensures the delivery of a good quality and reliable software. Various techniques and algorithms have been developed to carry out the testing process. This paper deals with utility of the nature based algorithms namely Genetic Algorithm, Ant Colony Optimization algorithm and Artificial Bee Colony algorithm i...