Frilled Lizard Optimization: A Novel Bio-Inspired Optimizer for Solving Engineering Applications
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Abstract
This research presents a novel nature-inspired metaheuristic algorithm called Frilled Lizard Optimization (FLO), which emulates the unique hunting behavior of frilled lizards in their natural habitat. FLO draws its inspiratio... | Find, read and cite all the research you need on Tech Science Press
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OpenAlex topics: Biotechnology and Related Fields
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References (74)
Show source-provided references
1. Greylag goose optimization: Nature-inspired optimization algorithm10.1016/j.eswa.2023.122147 ↗
2. Decentralized multi-task stochastic optimization with compressed communications10.1016/j.automatica.2023.111363 ↗
3. A hybrid deterministic-stochastic algorithm for the optimal design of process flowsheets with ordered discrete decisions10.1016/j.compchemeng.2023.108501 ↗
4. A novel analytical approach for solving partial differential equations via a tensor product theory of Banach spaces.10.1016/j.padiff.2023.100531 ↗
5. A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process10.1038/s41598-022-14225-7 ↗
6. Golf optimization algorithm: A new game-based metaheuristic algorithm and its application to energy commitment problem considering resilience10.3390/biomimetics8050386 ↗
7. Similarity in metaheuristics: A gentle step towards a comparison methodology10.1007/s11047-020-09837-9 ↗
8. A spring search algorithm applied to engineering optimization problems10.3390/app10186173 ↗
9. Mother optimization algorithm: A new human-based metaheuristic approach for solving engineering optimization10.1038/s41598-023-37537-8 ↗
10. Zebra optimization algorithm: A new bio-inspired optimization algorithm for solving optimization algorithm10.1109/ACCESS.2022.3172789 ↗
11. Harmony search meta-heuristic algorithm based on the optimal sizing of wind-battery hybrid micro-grid power system with different battery technologies10.1016/j.est.2023.109582 ↗
12. Preserving privacy in association rule mining using metaheuristic-based algorithms: A systematic literature review10.1109/ACCESS.2024.3362907 ↗
13. Energy-efficient routing protocol for underwater wireless sensor networks using a hybrid metaheuristic algorithm10.1016/j.engappai.2024.108132 ↗
14. Elevating survivability in Next-Gen IoT-Fog-Cloud networks: scheduling optimization with the metaheuristic mountain gazelle algorithm10.1109/TCE.2024.3371774 ↗
15. No free lunch theorems for optimization10.1109/4235.585893 ↗
16. Artificial lizard search optimization (ALSO): A novel nature-inspired meta-heuristic algorithm10.1007/s00500-021-05606-7 ↗
17. Side-blotched lizard algorithm: A polymorphic population approach10.1016/j.asoc.2019.106039 ↗
18. A novel metaheuristic inspired by horned lizard defense tactics10.1007/s10462-023-10653-7 ↗
19. Dollmaker optimization algorithm: A novel human-inspired optimizer for solving optimization problems
20. Particle swarm optimization
21. Ant system: Optimization by a colony of cooperating agents10.1109/3477.484436 ↗
22. Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems
23. Firefly algorithm, stochastic test functions and design optimisation10.1504/IJBIC.2010.032124 ↗
24. African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems10.1016/j.cie.2021.107408 ↗
25. Marine predators algorithm: A nature-inspired metaheuristic10.1016/j.eswa.2020.113377 ↗
26. Gooseneck barnacle optimization algorithm: A novel nature inspired optimization theory and application10.1016/j.matcom.2023.10.006 ↗
27. Grey wolf optimizer10.1016/j.advengsoft.2013.12.007 ↗
28. Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications10.1016/j.eswa.2023.122200 ↗
29. White shark optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems10.1016/j.knosys.2022.108457 ↗
30. Crested porcupine optimizer: A new nature-inspired metaheuristic10.1016/j.knosys.2023.111257 ↗
31. Tunicate swarm algorithm: A new bio-inspired based metaheuristic paradigm for global optimization10.1016/j.engappai.2020.103541 ↗
32. Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems10.1016/j.eswa.2021.116026 ↗
33. Honey badger algorithm: New metaheuristic algorithm for solving optimization problems10.1016/j.matcom.2021.08.013 ↗
34. Reptile search algorithm (RSA): A nature-inspired meta-heuristic optimizer10.1016/j.eswa.2021.116158 ↗
35. Golden jackal optimization: A novel nature-inspired optimizer for engineering applications10.1016/j.eswa.2022.116924 ↗
36. The whale optimization algorithm10.1016/j.advengsoft.2016.01.008 ↗
37. Genetic algorithms and machine learning10.1023/A:1022602019183 ↗
38. Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces10.1023/A:1008202821328 ↗
39. Artificial immune systems as a novel soft computing paradigm10.1007/s00500-002-0237-z ↗
40. Genetic programming as a means for programming computers by natural selection10.1007/BF00175355 ↗
41. An introduction to cultural algorithms
42. Evolution strategies-a comprehensive introduction10.1023/A:1015059928466 ↗
43. Optimization by simulated annealing10.1126/science.220.4598.671 ↗
44. GSA: a gravitational search algorithm10.1016/j.ins.2009.03.004 ↗
45. Multi-verse optimizer: A nature-inspired algorithm for global optimization10.1007/s00521-015-1870-7 ↗
46. Black hole: A new heuristic optimization approach for data clustering10.1016/j.ins.2012.08.023 ↗
47. A novel meta-heuristic optimization algorithm: Thermal exchange optimization10.1016/j.advengsoft.2017.03.014 ↗
48. Prism refraction search: A novel physics-based metaheuristic algorithm10.1007/s11227-023-05790-3 ↗
49. Equilibrium optimizer: A novel optimization algorithm10.1016/j.knosys.2019.105190 ↗
50. Archimedes optimization algorithm: A new metaheuristic algorithm for solving optimization problems10.1007/s10489-020-01893-z ↗
51. Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization10.1016/j.eswa.2020.114522 ↗
52. Water cycle algorithm–A novel metaheuristic optimization method for solving constrained engineering optimization problems
53. Henry gas solubility optimization: A novel physics-based algorithm10.1016/j.future.2019.07.015 ↗
54. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems10.1016/j.cad.2010.12.015 ↗
55. War strategy optimization algorithm: A new effective metaheuristic algorithm for global optimization10.1109/ACCESS.2022.3153493 ↗
56. Poor and rich optimization algorithm: A new human-based and multi populations algorithm10.1016/j.engappai.2019.08.025 ↗
57. Coronavirus herd immunity optimizer (CHIO)10.1007/s00521-020-05296-6 ↗
58. Gaining-sharing knowledge based algorithm for solving optimization problems: A novel nature-inspired algorithm10.1007/s13042-019-01053-x ↗
59. A novel meta-heuristic algorithm for solving numerical optimization problems: Ali Baba and the forty thieves10.1007/s00521-021-06392-x ↗
60. Shine · Wildl. Res. · 1989 · 16 · 49110.1071/WR9890491 ↗
61. Pepper · Mol. Phylogenet. Evol. · Jan. 2017 · 106 · 21710.1016/j.ympev.2016.09.002 ↗
62. Uncovering the function of an enigmatic display: Antipredator behaviour in the iconic Australian frillneck lizard10.1093/biolinnean/blz176 ↗
63. Frappell · J. Exp. Biol. · Aug. 1998 · 201 · 230710.1242/jeb.201.15.2307 ↗
64. Shape of western Australian dragon lizards (Agamidae)10.1163/1568538053693323 ↗
65. Frillneck lizard morphology: Comparisons between sexes and sites10.2307/1564741 ↗
66. Diet and habitat use of frillneck lizards in a seasonal tropical environment10.1007/BF00334405 ↗
67. Evolutionary programming made faster
68. Problem definitions and evaluation criteria for the cec 2017 special session and competition on single objective bound constrained real-parameter numerical optimization
69. Novel meta-heuristic bald eagle search optimisation algorithm10.1007/s10462-019-09732-5 ↗
70. Wilcoxon · Breakthroughs in Statistics · 1992 · 19610.1007/978-1-4612-4380-9_16 ↗
71. Das · Problem Definitions and Evaluation Criteria for CEC, 2011 Competition on Testing Evolutionary Algorithms on Real World Optimization Problems · Dec. 2010 · 341
72. An augmented lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design10.1115/1.2919393 ↗
73. Gandomi · Computational Optimization, Methods and Algorithms · 2011 · 356 · 25910.1007/978-3-642-20859-1_12 ↗
74. Useful infeasible solutions in engineering optimization with evolutionary algorithms