2010
DOI: 10.1016/j.amc.2010.04.062
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Apply a novel evolutionary algorithm to the solution of parameter selection problems

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Cited by 4 publications
(2 citation statements)
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“…In order to produce the individuals of next generation in population space, two-point crossover algorithm [22] and in-order mutation method [23] are both utilized in this research. By using two-point crossover algorithm, each pair of parents has a crossover rate for reproducing their offspring.…”
Section: The Scheme Of Population Spacementioning
confidence: 99%
“…In order to produce the individuals of next generation in population space, two-point crossover algorithm [22] and in-order mutation method [23] are both utilized in this research. By using two-point crossover algorithm, each pair of parents has a crossover rate for reproducing their offspring.…”
Section: The Scheme Of Population Spacementioning
confidence: 99%
“…Typically, either the evolution process reached user defined maximum number of iteration or the improvement in objective function between the two generations converges. The major advantages of the improved EAs compared with traditional optimization techniques include [20][21][22][23]: 1. EAs do not require objective function to be continuous and can be used in algebraic form.…”
Section: Introductionmentioning
confidence: 99%