Comparison of evolutionary and swarm based computational techniques for multilevel color image thresholding
Multilevel image thresholding by using evolutionary algorithms has been investigated. Algorithms used in the study are Evolution Strategy (ES), Genetic Algorithm (GA), Differential Evolution (DE), Adaptive Differential Evolution (JADE), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Cuckoo Search (CS) and Differential Search Algorithm (DS). The Artificial Bee Colony Algorithm and Differential Search Algorithm are the most robust algorithms. Differential Search Algorithm is the most effective algorithm in terms of CPU running times.
color image thresholding evolutionary optimization algorithms swarm-based optimization algorithms