Explore MATLAB source code curated for "CAS" with clean implementations, documentation, and examples.
CAS Robot Navigation Toolbox - A comprehensive simulation environment for mobile robot Simultaneous Localization and Mapping (SLAM), developed by Kai Arras. Enables rapid development of mobile robot simulation platforms with robust code implementations for robot modeling, sensor integration, and algorithm testing.
Particle Swarm Optimization (PSO) originated from Complex Adaptive System (CAS) theory, which was formally proposed in 1994. In CAS, members are called agents - for example, in studying bird flock systems, each bird represents an agent. Agents possess adaptability, enabling them to interact with their environment and other agents, while "learning" or "accumulating experience" through these interactions to modify their structure and behavior. The evolution of the entire system includes the emergence of new levels (birth of birds), differentiation and diversity (birds splitting into smaller subgroups), and new themes (discovery of new food sources during foraging). PSO mimics this behavior through mathematical models where particles (agents) iteratively update their positions based on personal and group best solutions.