Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning
It is always said that learning is at the core of intelligence. How does learning work in swarm intelligence algorithms (SIAs)? This paper tries to answer this question by analyzing the learning mechanisms in two new emerged swarm intelligence algorithms: Krill Herd algorithm, cuckoo search. Each algorithm generates new solutions by learning to explore/exploit the promising subspace. For the new solutions generators in each algorithm, we study the learning mechanism from the viewpoint of learning scheme includes learning subject, learning object, learning result and learning rule. Also we analyze their ability of exploration and exploitation. The above study not only enables theory researchers to get the similarities and differences among SIAs, but also helps them understand the integration of different SIAs together.
KeywordsSwarm intelligence Learning mechanism Solution generators Exploitation Exploration
Partly supported by the National Natural Science Foundation of China under Grant No. 61673196, 61503165, 61702237.
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