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The Cuckoo Search Algorithm (CSA) is a promising metaheuristic algorithm. It is applied to solve many problems in different fields. This paper proposes a new cuckoo search algorithm by combining the cuckoo search algorithm with the Hill Climbing method for solving the integer and minimax optimization problems. The proposed algorithm is named hybrid cuckoo search and hill climbing (CSAHC). CSAHC starts...
This paper aims to introduce an algorithm by performing three modifications in the GCS algorithm in order to enhance the rate of convergence using globally best solutions. The Cuckoo Search Algorithm, CSA, which has developed recently, is an optimization method that uses random equations for search engine and therefore the rate of convergence is considerably low. The improved algorithm developed,...
The Lévy flight was used in cuckoo search to achieve good optimization performance. Although the optimization performance of cuckoo search algorithm is good based on the Lévy flight some complicated mathematical operations should be used to realize the Lévy flight such as trigonometric function, gamma function and exponential functions, which limited the application of the cuckoo search algorithm...
In order to balance the exploitation and exploration, a self-adaptive mutation cuckoo search algorithm was proposed in this paper. On the one hand, the adjustment of search step according to the distance between current and optimal nests was adopt, which is beneficial to improve convergence speed. On the other hand, the self-adaptive discovery rate was introduced to increase flexibility of algorithm...
Since the proposal of Particle Swarm Optimization (PSO), there have been many improvements of PSO which have not change the basic paradigm of PSO involving pattern of movement of particles, update mode of particles and algorithm framework. Instead of another improvement of PSO, a novel paradigm of PSO with more natural and simpler forms, called naive PSO, is proposed, based on a slightly different...
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