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Cat swarm optimization (CSO) is one of the most known bio-inspired algorithms and is generated by the rule of cats' behaviors. Previous research shows the CSO algorithm performace better on finding the best global solutions than other two heuristic optimization algorithms: Particle Swarm Optimization (PSO) and weighted-PSO. The fractional calculus (FC) concept is proposed in this paper for controlling...
This paper proposes a new method for image segmentation using Cat Swarm Optimization (CSO) by multilevel thresholding. In the algorithm, each cat contains a set of threshold values that helps to get a given image partitioned into regions. The fitness value, position and velocity information of each cat is used to update the threshold values of each cat. The evaluation function deals with the segmented...
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