MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126521 A) filed by Sr University, Warangal, Telangana, on Dec. 14, 2025, for 'hybrid quantum evolutionary flamingo algorithm incorporating multi-objective pareto dynamics for high-dimensional feature selection stability.'
Inventor(s) include Dr. Durgam Revathi; Dr. Kummari Venkatesh; and Dr. Shaik Abdul Nabi.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention reveals a Hybrid Quantum Evolutionary Flamingo Algorithm (HQ-EFA) to be used in high dimensional stability of feature selection in biomedical and complex data. It combines encoding to feature qubit based feature encoding with quantum superposition using adaptive amplitude rotation and entanglement driven crossover and Flamingo inspired exploration and migration mechanisms. Multi-objective Pareto optimization is used to provide a strong Pareto front of candidate solutions, which multi-objective Pareto optimization achieves at the same time considering classification accuracy, subset dimensionality, redundancy, and stability. Specialized quantum operators can increase the search diversity and reduce premature convergence and stability aware ranking can be used to ensure that the subsets of features associated with reliability and biologically relevant are selected. Surrogate classifiers, archival memory, and inter-flock communication are also included in the invention to speed up convergence and preserve diversity of populations. The HQ-EFA system is applicable to genomic, radiomic, IoT-health, and ultra-high-dimensional data and offers small, interpretable and high-performing collections of features with repeatable stability. This quantum-evolutionary model is highly scalable, convergent and consistent in its selection, much better than traditional metaheuristics."
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