Journal of Global Optimization
An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
Review of meta-heuristics and generalised evolutionary walk algorithm
International Journal of Bio-Inspired Computation
Cellular particle swarm optimization
Information Sciences: an International Journal
On the optimal size of a robust swarm
International Journal of Computer Applications in Technology
Information Sciences: an International Journal
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
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A new optimisation algorithm which hybridises cuckoo search CS with teaching-learning-based optimisation TLBO is proposed for solving unconstrained optimisation problems. The new algorithm involves the concept of Lévy flight of the solutions and the information exchange based on teaching-learning process between the best solutions. The proposed method, combining the advantage of CS and TLBO, can strengthen the local search ability and accelerate the convergence rate. The effectiveness and performance of the method is evaluated on several large scale non-linear benchmark functions with different characteristics, and the results are compared with CS and TLBO. The experimental results show that the proposed algorithm outperforms other two algorithms and has achieved satisfactory improvement.