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Krill herd algorithm is a new heuristic global optimization algorithm based on swarm intelligence. As the parameters are critical to the algorithm performance, they should be reasonably selected while applying krill herd algorithm to solve global optimization problems. In this paper, three parameters are included in the test analysis based on the comparison of six benchmark functions. The results...
This paper considers discrete global optimization problems. The traditional definition of the discrete filled function is modified in this paper. Based on the modified definition, a new discrete filled function is presented and an algorithm for discrete global optimization is developed from the discrete filled function. Numerical experiments reported in this paper on several test problems with up...
The paper gives an improved particle swarm optimal algorithm in which a kind of exponent decreasing inertia weights is given to improve the convergence speed and a kind of stochastic mutations is used to improve the diversity of the swarm in order to overcome the disadvantage of premature convergence and later period oscillatory occurrences. It is shown by five representative benchmarks functionpsilas...
A new particle swarm optimal algorithm is proposed in this paper. In the algorithm, logarithm decreasing inertia weight is introduced to improve the convergence speed. Further, in order to overcome the disadvantage of easily getting into premature, the diversity of the population is increased by using a chaos mutation. The experiments demonstrate that the new algorithm is better than the particle...
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