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A 2020 taxonomy of algorithms inspired on living beings behavior

arXiv 2106.04775 ↗First posted 9 Jun 2021cs.NE cs.AIcited by 0

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Abstract (arXiv)

Taking the role of a computer naturalist, a journey is taken through bio inspired algorithms taking account on algorithms which are inspired on living being behaviors. A compilation of algorithms is made considering several reviews or surveys of bio-inspired heuristics and swarm intelligence until 2020 year. A classification is made considering kingdoms as used by biologists generating several branches for animalia, bacteria, plants, fungi and protista to develop a taxonomy.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 232 references that are in the map. First posted on arXiv 9 Jun 2021.

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References · 10

  1. 2013Flower Pollination Algorithm for Global Optimizationcited by 11
  2. 2020Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations (from 2020 to 2024)cited by 8
  3. 2015A Social Spider Algorithm for Global Optimizationcited by 4
  4. 2017BAS: Beetle Antennae Search Algorithm for Optimization Problemscited by 3
  5. 2019Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path Findingcited by 3
  6. 2020Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation modelcited by 3
  7. 2014A swarm optimization algorithm inspired in the behavior of the social-spidercited by 1
  8. 2014A Numerical Optimization Algorithm Inspired by the Strawberry Plantcited by 1
  9. 2014A Seed-based Plant Propagation Algorithm: The Feeding Station Modelcited by 1
  10. 2018Model-Free Optimization Using Eagle Perching Optimizercited by 1

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