Tog‘ echkisining moslashuvchan muvozanat, xavfni baholash va harakat traektoriyalariga asoslangan optimallashtirish yondashuvi

Authors

Keywords: biological optimization, metaheuristics, evolutionary algorithm, risk mechanism, energy model, convergence

Abstract

A novel bionic optimization algorithm inspired by mountain goats’ natural strategies of risk assessment and energy management is presented. The model employs a dedicated risk-avoidance coefficient and adaptive energy dynamics to balance global exploration with focused local search. The method was evaluated on the Sphere, Rosenbrock, Rastrigin and Ackley functions and compared against PSO and DE. Experimental results demonstrate fast and stable convergence on smooth landscapes and competitive performance on complex multimodal problems. Overall, the approach proves effective and reliable for high-dimensional optimization tasks.

References

1. Suganthan P. N. Differential Evolution Algorithm: Recent Advances. // Theory and Practice of Natural Computing / под ред. Dediu Adrian-Horia and Martín-Vide C. and T. B. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. – Р. 30-46.

2. Bäck T. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. – Oxford University Press, 1996.

3. Liang J. и др. A survey of surrogate-assisted evolutionary algorithms for expensive optimization. // Journal of Membrane Computing. 2025. Т. 7, № 2. – Р. 108-127.

4. Khan S. и др. Optimizing deep neural network architectures for renewable energy forecasting. // Discover Sustainability. 2024. Т. 5.

5. Yang M. и др. Evolutionary Design of S-Box with Cryptographic Properties. 2011. – Р. 12-15.

6. Citterio B., Tangherloni A. EvoGrad: Metaheuristics in a Differentiable Wonderland. 2025.

7. Zheng B., Cheng R., Tan K. C. EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. // ACM Trans. Evol. Learn. Optim. New York, NY, USA: Association for Computing Machinery, 2025.

8. Huang C. и др. Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. // Evolutionary Multi-Criterion Optimization / под ред. Ishibuchi H. и др. Cham: Springer International Publishing, 2021. – Р. 672-683.

9. Ahmad S. и др. Recent advances in ecological research on Asiatic ibex (Capra sibirica): A critical ungulate species of highland landscapes. // Glob. Ecol. Conserv. 2022. Т. 35. – Р. e02105.