AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This study introduces a nature-inspired optimization algorithm called the Spider-Tailed Viper and Bird Optimizer (STVBO), which is inspired by the hunting strategy of the Iranian spider-tailed viper, and demonstrates superior performance compared to rival algorithms.
During the development of metaheuristic algorithms, many classic algorithms have emerged, and the Jaya algorithm (JAYA) is one of them. The inspiration of JAYA comes from the idea that the population should stay away from the worst solution already discovered during the search process, and should approach the best solu...
The proposed Multi-Objective Narwhal Optimizer (MONO), a Pareto-based extension of the recently developed Narwhal Optimizer, incorporates Pareto dominance, external archive management, adaptive multi-leader guidance, and crowding-distance-based diversity preservation to effectively balance convergence and exploration t...
Experimental results demonstrate that the proposed hybrid strategy effectively overcomes the individual limitations of CMA-ES and GWO, making HCG a reliable method for solving complex continuous optimization problems.
The increasing complexity of real-world optimization problems requires efficient and robust metaheuristic optimization algorithms. In this paper, a novel nature-inspired algorithm, called the Maned Wolf Optimizer (MWO), is proposed. The proposed algorithm is inspired by the hunting strategies and solitary behavior of m...
Attraction-Repulsion Optimization Algorithm (AROA) is a recently proposed meta-heuristic algorithm known for its simplicity, ease of implementation, and robustness. However, AROA may converge to local optima when applied to complex optimization problems. To address this limitation, we propose an enhanced version called...
Results show that integrating local search significantly enhances performance, while a principled method for setting hybrid parameters ensures robustness and reproducibility, highlighting the potential of combining mathematical programming techniques with evolutionary algorithms for high-dimensional many-objective opti...
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