Hybrid Optimization Method Based on the Integration of Evolution Models and Swarm Intelligence in Affine Search Spaces

摘要

A composite architecture of a multi-agent bionic search system based on the integration of swarm intelligence and genetic evolution is proposed. The structure of the affine space of positions is developed, which allows to display and search for interpretations of solutions with integer parameter values. The mechanisms for moving particles in affine space to reduce the weight of affine bonds are considered.