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A Review of Genetic Algorithms and Algorithm Fusion: Is Result Ranking More Effective.

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Algorithm fusion enhances the ranking performance of genetic algorithms, indicating potential improvements in decision-making.
Recent trends suggest improvements in convergence speed and accuracy with algorithm fusion compared to standalone applications.
The review critically assesses the significant enhancements in ranking capabilities of fused algorithms over traditional genetic algorithms.
It outlines applications of genetic algorithms in diverse fields including scheduling, machine learning, and data mining.

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This review examines algorithm fusion's effects on ranking and decision-making in data mining and image processing.

Haneesh et al. (2025) studied this question.

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