This optimization algorithm is motivated by organism’s collective social behavior. This involves the implementation as a collective intelligence problem-solving method of simple agent groups focused on the real-world insect swarm actions. The word “swarm” is used to describe the particles “uneven movements in problem space”.
By considering five fundamental principles, swarm intelligence can be described as follows:
- Proximity principle: Simple space and time calculations can be carried out by population.
- Quality principle: In environment, the population must be able to react to quality factors.
- Diverse response principle: The activities along extremely narrow channels should not be committed by the population.
- Stability principle: Every time with respect to changes to environment, the population should not change their behavior.
- Adaptability principle: If the computational price is worth it, then it can alter the mode of behavior of the population.
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