Embedded Bionic Intelligent Optimization Scheme for Complex Systems

An embedded intelligent optimization scheme based on artificial fish model was proposed for the nonlinear, stochastic and modeless characteristics of complex systems. The artificial fish model can have cognitive ability which consisted of basic reaction layer and advanced intelligence layer, and it can adapt to the system environment and interact with its mates, then the individual embedded optimization scheme and the colony embedded optimization scheme came into being. The optimization scheme takes the benefit of swarm intelligence of bionic agents. The intelligent model can describe the modeless factors, and has no special requirement to the system model´s property. Furthermore, the artificial fish model can combine with the modern and classical calculation methods to improve its behavior and decision ability. As a result, a powerful calculation system for complex system´s optimizing and solving can be formed