Image segmentation is an important part of image processing. For the disadvantages under multiple thresholds such as long time and poor quality, improved cuckoo search (ICS) proposed for multithreshold strategy. Firstly, model based on maximum entropy threshold described, secondly, algorithm by using chaotic initialization population to improve diversity solutions, optimizing step size factor p...

To overcome the limitations of Flamingo Search Algorithm (FSA), such as a tendency to converge on local optima and improve solution accuracy, we present an improved algorithm known Multi-Strategy Improved (IFSA). The IFSA utilizes cube chaotic mapping strategy generate initial populations, which enhances quality set. Moreover, information feedback model is dynamically adjust based current fitne...

As a new meta heuristic intelligent algorithm, crow search algorithm simulates the behavior of crows following each other and stealing food. Due to simplicity robustness it has been successfully applied in many fields. However, like swarm intelligence optimization algorithms, also disadvantages slow convergence speed easy fall into local optimization. In order improve accuracy later ability hyb...

Cuckoo Search (CS) algorithm is a nature-inspired optimization (NIOA) with less control parameters that stable, versatile, and easy to implement. CS has good global search capabilities, but it prone local optima problems. As result, may be possible improve the classic algorithm's capability. Centered on fuzzy set theory, this paper introduces an improved version. The population of solutions bee...