In this paper, we propose the Quantum Whale Optimization Algorithm (QWOA) for feature selection, which is an amalgamation of the Quantum Concepts and the Whale Optimization Algorithm (WOA). The proposed method enhances the exploratory and exploitation power of the classical WOA, with the use of ...
As a newly emerged meta-heuristic, the whale optimization algorithm (WOA) has a good performance in Simulation and discussion To demonstrate the efficiency of the proposed clustering approach in improving the QoS performance of IESWSNs, HPCP-QCWOA is compared with the state-of-the-art clustering...
In non-linear SVM, kernel functions transform input data into a higher-dimensional space, enabling the algorithm to identify a separating hyperplane in this new space, even if the data cannot be separated linearly in the original space. The optimization issue in non-linear SVM is similar to tha...
archive strategy40. The Whale Optimization Algorithm (WOA)41, inspired by the group hunting behavior of humpback whales, incorporates three phases: search for food, contraction and encirclement, and spiral updating. Additionally, El-Kenawy and colleagues proposed the Football Optimization Algorithm (FbOA...
A hybrid grey wolf-whale optimization algorithm for optimizing SVM in breast cancer diagnosis. In Proceedings of the PDGC 2020 - 2020 6th International Conference on Parallel, Distributed and Grid Computing. (2020). Badr, E., Almotairi, S., Salam, M. A. & Ahmed, H. New sequential and ...
it is difficult to apply the attack algorithm directly to LMMs. Thus, as an alternative, the paradigm of transfer-based attack is used to conduct experiments on LMMs, that is, adversarial examples are generated on the local model, and then prompt-based paradigm is used to get answers for th...
[34] used the density peaking algorithm to complete clustering and the whale algorithm for density peaking core parameter optimization to enhance the clustering performance. This study provides a new research direction for the improvement of clustering performance. Recently, various quantum population ...
A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations 2023, Archives of Computational Methods in Engineering Quantum reinforcement learning 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics Quantum-inspired evolutionary al...
In the same vein, cubic spline interpolation was utilized in (Wang et al., 2020) to create a time-jerk optimal trajectory for a six-axis industrial robot using an improved whale optimization algorithm. The two objectives are transformed into a single objective with the weight coefficients, ...
The SCRF algorithm of the present invention comprises two steps: first, a gas phase calculation is performed (with or without geometry optimization). This is necessary to evaluate the energy due to solute polarization; and second, the PB equation is solved for each self-consistent function (SCF...