What is hybrid algorithm?
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A hybrid algorithm is a combination of two or more algorithms that work together to solve a problem. It takes advantage of the strengths of each individual algorithm to improve overall performance and achieve better results. Hybrid algorithms can be used in various fields such as control systems , optimization problems , wind power prediction , tridiagonal determinants evaluation , and image matching in computer vision . These algorithms typically involve the parallel execution of different algorithms or the sequential execution of algorithms with different steps. The hybrid approach aims to enhance accuracy, precision, adaptability, and robustness compared to the original algorithms. It also allows for the combination of different techniques and methodologies, leading to significant improvements in solving complex problems.
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| Papers (4) | Insight |
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| The paper proposes a hybrid quantum algorithm that combines the robustness of SIFT with the advantages of quantum exponential storage and parallel computing to improve image matching in computer vision and image processing. | |
11 Jun 2023 | The hybrid optimization method proposed in the paper combines the advantages of simulated-annealing-based Ising machines and quantum-annealing-based Ising machines to solve combinatorial optimization problems more efficiently. |
| The paper describes a hybrid algorithm that combines gradient descent and meta-heuristic optimization to improve the accuracy of wind power prediction. | |
| The paper provides a description of a hybrid algorithm that combines the least mean square (LMS) and backpropagation neural network (BPN) algorithms. The hybrid algorithm runs both algorithms in parallel and updates the proportional integral derivative (PID) controller gains simultaneously. |
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