Stochastic optimization algorithms are usually evaluated based on performance on high dimensional benchmark functions and results of these tests determine the direction of development. Benchmark functions however, do not emulate complex engineering problems. In this paper a power plant optimization problem is presented and solved under different constraints with multiple elite dependent and sin...

Along with the increasing number of nature-inspired algorithms, more and benchmark functions were also involved in initial verification experiments. The introduced to verify capability algorithms optimization, but not all them could be optimized, because they different from each other dimensionality, separability, scalability, modality <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmln...

In this paper, we introduce a Resource Reservation Protocol (RSVP) benchmark to investigate the RSVP protocol through profiling. The benchmark is created by modifying an existing C implementation of RSVP. By running the modified benchmark in a simulation environment, two kinds of profiling results were gathered. First, performance-related results were produced to identify the time-critical func...

this paper presents a new multi-sensor data fusion method based on the combination of wavelettransform (wt) and extended kalman filter (ekf). input data are first filtered by a wavelettransform via daubechies wavelet “db4” functions and the filtered data are then fused based onvariance weights in terms of minimum mean square error. the fused data are finally treated byextended kalman filter for...

In this paper, the performances of the Artificial Bee Colony (ABC) Algorithm and Invasive Weed Optimization (IWO) Algorithm are compared on the basis of modified versions of five well known benchmark functions. The modifications are performed on these functions in order to get rid of the symmetrical properties of the selected functions. Further a solution space is shifted so that the optimal fu...