Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems

Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms in nature. The results demonstrate that the GTO performs better than comparative algorithms on most benchmark functions, particularly on high-dimensional problems.

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• 1 This paper proposes a new metaheuristic algorithm inspired by gorilla troops' social intelligence in nature, called Artificial Gorilla Troops Optimizer (GTO).
• 2 In this algorithm, gorillas' collective life is mathematically formulated, and new mechanisms are designed to perform exploration and exploitation.
• 3 To evaluate the GTO, we apply it to 52 standard benchmark functions and seven engineering problems.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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