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The document presents an improved version of the Fata Morgana Algorithm (IMFATA) for global optimization, addressing the issue of premature convergence found in the original algorithm. The IMFATA incorporates a circle chaotic map and adaptive t-distribution perturbation mutation to enhance computational accuracy and convergence speed, outperforming several other optimization algorithms in benchmark tests. Additionally, it demonstrates effective application in optimizing support vector machine parameters for

Author

mohammed charif kihal

Language

EN