Swarm Intelligence: Past, Present and Future

Abstract

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.

arXiv commentSoft Computing, 2017

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• A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization
• Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights
• Engineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench