Recent Advances on Memetic Algorithms and its Applications in Image Processing by D. Jude Hemanth & B. Vinoth Kumar & G. R. Karpagam Manavalan

Author:D. Jude Hemanth & B. Vinoth Kumar & G. R. Karpagam Manavalan
Language: eng
Format: epub
ISBN: 9789811513626
Publisher: Springer Singapore

3 Overview of Swarm-Based Methods

In nature, there are some groups of animals that show some intelligence when dealing with certain problems. Although each individual performs very simple operations, the group itself can perform complex operations. For example, this type of behavior is observed when a group of birds or fish moves.

Swarm-based methods define a group of computational algorithms that solve complex problems by imitating these groups of biological individuals. The behavior of different individuals has been imitated over the years: ants [7], particles [8], bacteria [9], frogs [10], fish [11], bees [12], cuckoos [13], bats [14], fireflies [15], wolves [16], etc.

Swarm-based methods share some common features:Each individual of the population has associated with some basic behaviors.

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