Cuckoo Search (CS) algorithm was developed by Yang and Deb [1, 2] as an efficient population-based metaheuristic inspired by the behavior of some cuckoo species in combination with the L茅vy flight. It is also used in steel structural optimization problems by Kaveh and Bakhshpoori [3, 4]....
A new metaheuristic algorithm, known as Cuckoo Search (CS), was used in the procedure of optimum synthesis of mechanism parameters. Highlights ► The method of dimensional synthesis of a six-bar double dwell linkage is considered. ► The circular arcs that correspond to the periods of rest ...
Another example is Particle Swarm Optimization (PSO) which was developed by Eberhart and Kennedy in 1995. This stochastic optimization algorithm is inspired by social behavior of bird ?ocking or ?sh schooling [3–5]. Ant Colony Optimization (ACO) is another evolutionary optimization algorithm which...
As an example, Layeb [27] presents a novel quantum inspired Cuckoo search algorithm (QICSA) which is a hybridization between quantum computing principles and Cuckoo search algorithm, and it can achieve better balance between exploration and exploitation. Chandrasekaran and Simon come up with a ...
An efficient optimization algorithm is critical to ensure that optimal solutions are reachable in search space17. For an example, CS algorithm outperforms PSO in achieving the global convergence. In this case, PSO algorithm converges prematurely to a local optimum (stuck in local optima predicament)...
aAn example of a 100-step LF andba zoomed-in section of the same LF (lifted from Yang et al.2013) Full size image In the CS algorithm, the selection of the best by keeping the best nests or solutions is equivalent to some form of elitism commonly used in genetic algorithms (Yang and...
an application example, an UWB BPF is designed by using three base fundamental shapes; Shunt Stub (SS), Etched Square Stub (ESS) and Defected Ground Structure (DGS). SWRM and Cuckoo Search Algorithm (CSA) are utilized together in the analysis and design of the BPF. In recent years...
We propose a new method, named cuckoo search epistasis (CSE) for identifying significant epistatic interactions in population-based association studies with a case–control design. This method combines a computationally efficient Bayesian scoring function with an evolutionary-based heuristic search algorithm...
3. Fractal image encoding by cuckoo inspired fast search Fractal image compression performs the encoding by the following two properties The exploration of the traditional fractal image compression under these properties is explained with an example in Section 3.1. 3.1. Fractal image compression Let f...
Since then many other algorithms have been developed that have been inspired by nature, for example particle swarm optimisation (PSO) [3], differential evolution (DE) [4] and, more recently, the cuckoo search (CS) [5]. These are heuristic techniques which make use of a large population of...