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...

Cuckoo search (CS) is an efficient swarm-intelligence-based algorithm and significant developments have been made since its introduction in 2009. CS has many advantages due to its simplicity and efficiency in solving highly non-linear optimisation problems with real-world engineering applications. This paper provides a timely review of all the state-of-the-art developments in the last five year...

In this paper, the metaheuristics algorithm Cuckoo Search (CS), is adapted and applied for a model parameter identification of an E. coli fed-batch cultivation process. The dynamics of bacteria growth and substrate (glucose) utilization is described by a system of ordinary nonlinear differential equations. Using real experimental data set from an E. coli MC4110 fed-batch cultivation process a p...