GDESA: Gradient Differential Evolution-Simulated Annealing Hybrid
This paper presents an innovative approach to enhance the hybrid Differential Evolution (DE) algorithm by focusing on improved convergence speed, exploration capabilities, and solution precision. This is achieved through the integration of elitism in evolutionary algorithms, gradient methods, and th...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10746476/ |
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