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Hybrid particle swarm optimization with simulated annealing
While solving the optimization problems of complex functions, particle swarm optimization (PSO) would be easy to fall into trap in the local optimum. Besides that, it has slow convergence speed and poor accura...
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Article
A new and efficient firefly algorithm for numerical optimization problems
Firefly algorithm (FA) is an excellent global optimizer based on swarm intelligence. Some recent studies show that FA was used to optimize various engineering problems. However, there are some drawbacks for FA...
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Article
An improved global best guided artificial bee colony algorithm for continuous optimization problems
Artificial bee colony (ABC) has proved to be a good optimizer on many engineering problems. However, the standard ABC converges slowly because of poor exploitation. Recently, a new ABC variant called global be...
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Article
A hybrid artificial bee colony algorithm with modified search model for numerical optimization
Artificial bee colony (ABC) is an effective optimization algorithm, which has been used in various practical applications. However, the standard ABC suffers from low accuracy of solutions and slow convergence ...