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  1. May 15, 2021 · Swarm Intelligence (S.I.) was introduced by Gerardo Beni and Jing Wang in the year 1989. S.I. simply means using the knowledge of collective objects (people, insects, etc.) together and then reaching the optimized solution for a given problem.

  2. Artificial Swarm Intelligence (ASI) is method of amplifying the collective intelligence of networked human groups using control algorithms modeled after natural swarms.

  3. Jan 3, 2023 · Learn about the key features, advantages, and limitations of swarm intelligence (SI)-based algorithms, such as PSO and ABC, that model the collective behavior of natural systems for optimization. The chapter also presents a comprehensive review of the algorithms and their applications on benchmark problems.

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  5. Swarm Intelligence Algorithms (SIAs) refer to a class of iterative-based stochastic search algorithms used in computer science. They are inspired by the collective behavior of decentralized, self-organized systems, such as bird flocking and ant foraging.

  6. Aug 20, 2024 · Swarm intelligence is an artificial or natural technique based on collective behavior in decentralized systems. Learn about its principles, real-world examples, and applications, such as particle swarm optimization, ant colony optimization, and more.

  7. 3 days ago · This chapter focuses precisely on swarm intelligence algorithms and their engineering applications. The chapter is structured as follows: Sect. 2 presents a general scheme of nature-based optimization methods including a detailed description of one of the basic swarm intelligence algorithms which is the particle swarm optimization (PSO ...

  8. May 18, 2015 · Swarm Intelligence Algorithms. This section introduces several SI-based algorithms, highlighting their notable variants, their merits and demerits, and their applications.