SIDD 2015 - Special Session on Swarm Intelligence with Discrete Dynamics: Algorithms and Applications

Swarm intelligence is a discrete dynamic system that deals with natural and artificial systems which consist of many dynamic individuals with decentralized control and self-organization. As a multidisciplinary study inspired by nature, this field typically focuses on collective behaviors deriving from a population of simple agents interacting with one another and with environment. These behaviors include bees colonies, birds flocking, bacteria foraging, and so on. Over the last few decades, there has been a remarkable growth in this field that encompasses the interests and efforts of researchers ranging from social science and ethology to computer science and engineering. Swarm intelligence has been successfully applied to various real-world problems such as discrete optimization, dynamic decision and computational system.
This special issue is devoted to publishing original and high-quality articles that advance the state-of-the-art algorithms and applications of swarm intelligence with discrete and dynamic characteristics.
Topics of interest include but not limited to:
Particle swarm optimization
Ant colony optimization
Bee colony optimization
Bacterial foraging optimization
Artificial fish search algorithm
Krill herd algorithm
Other algorithms inspired by swarm intelligence
Besides, applications of the above algorithms include but not limited to:
Operations research
Decision making
Management optimization
Information systems
Power and energy systems
Other management and engineering problems