Cellular Automata, Learning Automata, and Cellular Learning Automata for Optimization

Abstract

Since many real problems have several limitations and constraints for different environments, no standard optimization algorithms could work successfully for all kinds of problems. To enhance the abilities and improve the performance of a standard optimization algorithm for solving problems, several modifications or combinations with some techniques such as learning automata (LA), cellular automata (CA), and cellular learning automata (CLA) are presented by researchers. Thus, this chapter investigates new learning automata (LA) and cellular learning automata (CLA) models for solving optimization problems. Moreover, this chapter provides a summary of hybrid LA models for optimization problems from 2015 to 2021.