Fractional Newton-derived optimizer: a novel metaheuristic for global optimization problems

Key Points

• Improved convergence properties observed using the fractional newton-derived optimizer, effectively enhancing solution finding in complex scenarios.
• Performance metrics revealed an average improvement of 25% in solution quality across diverse optimization problems.
• Application of the metaheuristic approach involves iteratively refining solutions, combining classical methods with novel techniques.
• Highlights the need for further exploration of algorithm robustness across varied problem landscapes to ensure broad applicability.