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Subsequently, performance comparisons with other developed methods in studying the same benchmark function were made.
This paper conducts experiments on 13 benchmark function optimization problems, 2 neural network learning problems, and 2 engineering design problems.
Firstly, a benchmark function is chosen to illustrate the potential of the proposed approach in dealing with function approximation problem.
A set of well known benchmark function have been used to validate the better performance of DFO.
The only condition is that the computational budget cannot exceed a constant measuring the hardness of the benchmark function set.
The solution of a system derived from one benchmark function of two variables with multiple minima is presented, and some conclusions were obtained for this application.
Similar(30)
Their performance were tested with 23 benchmark functions.
Experimental results are compared using 23 benchmark functions.
The performance of mCS is confirmed with some benchmark functions.
Performance testing has been conducted on some typical benchmark functions.
To evaluate the performance of ICTLBO, 22 benchmark functions presented in CEC2006 and 18 benchmark functions introduced in CEC2010 are chosen as the test suite.
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