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BCLO—Brainstorming and Collaborative Learning Optimization Algorithms

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Machine Learning Paradigms: Theory and Application

Part of the book series: Studies in Computational Intelligence ((SCI,volume 801))

Abstract

Brainstorming Optimization (BSO) algorithms are considered as one of the variations of swarm intelligence. Brainstorming optimization concept is based on a human being thinking and intelligence in solving complex problems. BSO basically emulates the human brain functionality in dealing with different situations. There are many techniques are already used in educating people and they prove their effectiveness. This chapter is a step towards explaining the main concept behind swarm intelligence. It goes over the swarm intelligence in business, routing algorithms, and in optimization. Then, it explains the main idea behind the concept of brainstorming optimization. It elaborates on brainstorming techniques and their variations including Fuzzy-brainstorming optimization. Moreover, this chapter introduces three novel optimization algorithms that are motivated from the collaborative learning approaches used in education. It presents Think-and-Share Optimization (TaSO), Think-Pair-Square Optimization (TPSO), and R-Parallel-Collaborative Optimizations (RPCO) Algorithm.

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Author information

Authors and Affiliations

  1. Cairo University, Giza, Egypt

    Rabie A. Ramadan

  2. Hail University, Hail, Saudi Arabia

    Rabie A. Ramadan & Ahmed B. Altamimi

Authors
  1. Rabie A. Ramadan
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  2. Ahmed B. Altamimi
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Correspondence to Rabie A. Ramadan .

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Editors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Ramadan, R.A., Altamimi, A.B. (2019). BCLO—Brainstorming and Collaborative Learning Optimization Algorithms. In: Hassanien, A. (eds) Machine Learning Paradigms: Theory and Application. Studies in Computational Intelligence, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-030-02357-7_19

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