Swarm Intelligence: Past, Present and Future
It provides a review for researchers in optimization, but is incremental as it summarizes existing developments without new results.
This paper analyzes swarm intelligence (SI) algorithms and their connection to self-organization, examining characteristics from mathematical and qualitative perspectives, and outlines future research directions and open questions.
Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems. Some significant developments have been made in recent years, though there are still many open problems in this area. This paper provides a short but timely analysis about SI-based algorithms and their links with self-organization. Different characteristics and properties are analyzed here from both mathematical and qualitative perspectives. Future research directions are outlined and open questions are also highlighted.