Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Global optimization using hybrid approach
WSEAS Transactions on Mathematics
Crossing genetic and swarm intelligence algorithms to generate logic circuits
WSEAS Transactions on Computers
WSEAS Transactions on Computers
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
Modified cuckoo search algorithm for unconstrained optimization problems
ECC'11 Proceedings of the 5th European conference on European computing conference
A survey on parallel ant colony optimization
Applied Soft Computing
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Modifications that introduce parallelization of standard cuckoo search algorithm are proposed in this paper. Basic form of the cuckoo search algorithm has already shown great potential for optimization problems, especially when applied to unconstrained continuous functions. In this paper two aspects of parallelization are proposed. The first one addresses the performance issue, while the second one deals with quality of results. Multicore processors became standard today. When different runs of algorithm execute within different threads, better performance can be reached. Second issue refers to multiple flocks approach that combines search results from two or more flocks. Set of well-known unconstrained continuous benchmark function is used to illustrate testing results of the proposed parallelized cuckoo search algorithm.