Development and investigation of biologically inspired algorithms cooperation metaheuristic

Authors:
Akhmedova Shakhnaz;Andrey Shabalov
Affiliations:
Siberian State Aerospace University, Krasnoyarsk, Russian Fed.;Siberian State Aerospace University, Krasnoyarsk, Russian Fed.
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

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Abstract

Cooperation of biologically inspired algorithms as an optimization meta-heuristic is considered. Its performance evaluation and comparison with component algorithms performance on benchmark optimization problems is fulfilled. Workability of the meta-heuristic is demonstrated with artificial neural networks based classifiers tuned to two real world problems.