Discussing the article: "Eagle Strategy (ES)"

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Check out the new article: Eagle Strategy (ES).

Eagle Strategy is an algorithm that mimics the eagle's two-phase hunting strategy: global search via Levy flights using Mantegna method, alternating with intense local exploitation using the firefly algorithm, a mathematically sound approach to balancing exploration and exploitation, and a bioinspired concept that combines two natural phenomena into a single computational method.

Accordingly, increasing attention is being given to metaheuristic algorithms inspired by nature, as well as to methods that have undergone natural evolution. These algorithms are capable of finding good, and often near-optimal, solutions, even in problems where computation speed is of paramount importance.

Against the backdrop of increasingly complex and resource-intensive tasks, we will examine another promising approach today: Eagle Strategy (ES). This algorithm, inspired by the eagle's hunting behavior, is a new metaheuristic designed to solve optimization problems by simulating a strategy of visual search and dynamic pursuit of prey.

Author: Andrey Dik