Impact of weather inputs on heating plant: agglomeration modeling
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Application of evolutionary algorithm on aerodynamic wing optimisation
ECC'08 Proceedings of the 2nd conference on European computing conference
Usage of PSO algorithm for parameters identification of district heating network simulation model
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
Forecast of heat demand according the Box-Jenkins methodology for specific locality
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
Coil optimization with aid of flat coil optimizer
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
Audio transformers optimization by means of evolutionary algorithms
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
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SOMA - Self-Organizing Migration Algorithm is highly effective tool of evolutionary optimization as already proven on many real life problems. This article introduces new innovative strategy how to set one of the most important SOMA control parameter PRT, which makes the algorithm even more efficient. 996.3E6 single evaluations have been calculated for 10 different test functions to statistically prove impact of this improvement. Application of the strategy proposed by this article can bring better results in about 50% of optimized functions and possibly even achieve breakthrough in cases, which standard SOMA setting does not perform well.