Swarm intelligence algorithms are taking the spotlight in the field of function optimization. In this book our attention centers on a new framework inspired from the food foraging behavior of honey bees. Utilizing the Particle Swarm Optimization (PSO) algorithm within this framework we have developed a novel algorithm called Honey Bee Foraging Particle Swarm Optimization (HBF-PSO). The HBF-PSO algorithm and its variants are suitable for solving multimodal and dynamic optimization problems. We focus on the niching and speciation capabilities of these algorithms which allow them to locate and...

The complexity of embedded systems is exploding into two interrelated but independently growing directions: architectures complexity/heterogeneity and applications complexity. On the other hand, time- to-market and design productivity factors are constantly shrinking. Consequently, the gap between system complexity and design productivity is constantly increasing. To reduce this gap, System Level Design (SLD) has shown a lot of potential. However, it still involves a substantial number of design challenges. For example, complex applications should be analyzed at higher abstraction...