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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
S. Fidanova
Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
Computer Science & IT Engineering

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Generalized swarm intelligence algorithms with domain-specific heuristics P. Matrenin; V. Myasnichenko; N. Sdobnyakov; D. Sokolov; S. Fidanova; L. Kirilov; R. Mikhov
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i1.pp157-165

Abstract

In recent years, hybrid approaches on population-based algorithms are more often applied in industrial settings. In this paper, we present the approach of a combination of universal, problem-free Swarm Intelligence (SI) algorithms with simple deterministic domain-specific heuristic algorithms. The approach focuses on improving efficiency by sharing the advantages of domain-specific heuristic and swarm algorithms. A heuristic algorithm helps take into account the specifics of the problem and effectively translate the positions of agents (particle, ant, bee) into the problem's solution. And a Swarm algorithm provides an increase in the adaptability and efficiency of the approach due to stochastic and self-organized properties. We demonstrate this approach on two non-trivial optimization tasks: scheduling problem and finding the minimum distance between 3D isomers.
Co-Authors D. Sokolov L. Kirilov N. Sdobnyakov P. Matrenin R. Mikhov V. Myasnichenko