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Multi-objective Swarm Intelligence pp 27–73Cite as

Swarm Intelligence in Multiple and Many Objectives Optimization: A Survey and Topical Study on EEG Signal Analysis

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 592))

Abstract

This paper systematically presents the Swarm Intelligence (SI) methods for optimization of multiple and many objective problems. The fundamental difference of Multiple and Many Objective Optimization problems have been studied very rigorously. The three forefront swarm intelligence methods, i.e., Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Artificial Bee Colony Optimization (ABC) has been deeply studied to understand their ways of solving multiple and many objective problems distinctly. A pragmatic topical study on the behavior of real ants, bird flocks, and honey bees in solving EEG signal analysis completes the survey followed by discussion and extensive number of relevant references.

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Authors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar-24, Odisha, India

    B. S. P. Mishra

  2. Department of Systems Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon, 443-749, South Korea

    Satchidanand Dehuri

  3. Soft Computing Laboratory, Department of Computer Science, Yonsei University, 262 Seongsanno, Seodaemun-gu, 120-749, South Korea

    Sung-Bae Cho

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  1. Department of Information and Communication Technology, Fakir Mohan University, Balasore, India

    Satchidananda Dehuri

  2. Department of Computer Science and Engineering, Siksha 'O' Anusandhan University, Bhubaneswar, India

    Alok Kumar Jagadev

  3. Gandhi Institute for Technological Advancement, Bhubaneswar, India

    Mrutyunjaya Panda

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Mishra, B.S.P., Dehuri, S., Cho, SB. (2015). Swarm Intelligence in Multiple and Many Objectives Optimization: A Survey and Topical Study on EEG Signal Analysis. In: Dehuri, S., Jagadev, A., Panda, M. (eds) Multi-objective Swarm Intelligence. Studies in Computational Intelligence, vol 592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46309-3_2

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