A novel metaheuristic inspired by horned lizard defense tactics
Instituto Politécnico Nacional · Instituto Tecnológico de Ciudad Madero · +2 more institutions
Abstract
Abstract This paper introduces HLOA, a novel metaheuristic optimization algorithm that mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to-escape defense methods. In crypsis behavior, the lizard changes its color by becoming translucent to avoid detection by its predators. The horned lizard can lighten or darken its skin, depending on whether or not it needs to decrease or increase its solar thermal gain. The skin darkening or lightening strategy is modeled by including the stimulating hormone melanophore rate( $$\alpha$$ α -MHS) that influences these skin color changes. Further, the move-to-evasion strategy is also mathematically described. The horned lizard’s shooting…
Citation impact
- FWCI
- 45.00
- Percentile
- 100%
- References
- 77
Authors
5- HPHernán Peraza-Vázquez
Instituto Politécnico Nacional
- AFAdrián F. Peña-DelgadoCorresponding
- MAMarco Antonio Merino Treviño
Instituto Politécnico Nacional
- ABAna Beatriz Morales–Cepeda
Instituto Tecnológico de Ciudad Madero
- NSNeha Sinha
Indian Institute of Information Technology Allahabad, Tilka Manjhi Bhagalpur University
Topics & keywords
- Computer science
- Metaheuristic
- Morphing
- Optimization problem
- Algorithm
- Mathematical optimization
- Artificial intelligence
- Mathematics