1Introduction of Swarm Intelligence


Because biology is swarming intelligence, for millions of years, many biological processes have addressed complex issues through information exchange with groups. By thoroughly examining the behavioral factors aspects of individuals and integrating compartmental observations with mathematical or simulated modeling, the processes of the collective conduct in biological systems are now understood. We use insect-world examples to demonstrate how structures are developed, collective choices are taken, and how enormous groups of insects may move as one. This first chapter encourages computer programmers to look more carefully at the biomedical domain.

Keywords: Swarm behavior, collective behavior, particle swarm optimization (PSO), swarm agents, optimization method, global behavior, fish schooling

1.1 Introduction to Swarm Behavior

  • A swarm may be described as an organized grouping of organizations that interact (or agents).
  • In a swarm, individuals cooperate to achieve a global goal more efficiently than a single person could.
  • Although an individual’s conduct is straightforward, group activities can become very difficult.
  • Computer scientists use birds (for flocks), ants, poultry (for schools), bees, and wasps in swarm intellectual ability studies [1].

1.1.1 Individual vs. Collective Behaviors

  • Swarming and individual behaviors are closely interconnected.
  • Individuals form and determine the behaviors of the swarm. On the other hand, ...

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