Discussion of article "Population optimization algorithms: Fish School Search (FSS)"
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New article Population optimization algorithms: Fish School Search (FSS) has been published:
Fish School Search (FSS) is a new optimization algorithm inspired by the behavior of fish in a school, most of which (up to 80%) swim in an organized community of relatives. It has been proven that fish aggregations play an important role in the efficiency of foraging and protection from predators.
Fish form schools in nature in several ways. As a rule, they prefer larger schools, consisting of individuals only of their own species. Any member of the pack that stands out in its appearance, or has some kind of difference, becomes a prime target for predators. This fact explains why fish prefer schools of identical individuals. This way the homogeneity of the entire school is achieved.
A school is organized quite rigidly when the fish swim synchronously at the same speed and in the same direction. This happens due to the fish being of the same species, age and size moving at a certain distance from each other. Schools of fish are able to perform complex maneuvers, as if they have group intelligence and a common mind.
The subtleties of school formation are far from being fully understood, especially aspects of movement and ways of feeding.
To create a more complete picture, mathematical modeling of such behavior is used. The most common mathematical models assume that individual animals in a school follow three basic rules:
Author: Andrey Dik