A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Table 2

Five basic principles of SI.

Principle	Definition
Proximity principle	The swarm should be able to do simple space and time computations
Quality principle	The swarm should be able to respond to quality factors in the environment
Diverse response principle	The swarm should not commit its activities along excessively narrow channels
Stability principle	The swarm should not change its mode of behavior every time the environment changes
Adaptability principle	The swarm should be able to change its behavior mode when it is worth the computational price