ArticleBiomimetics (Basel, Switzerland)2024
Heuristic Optimization Algorithm of Black-Winged Kite Fused with Osprey and Its Engineering Application.
Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Improved Egret Swarm Optimization Algorithm Based on Variable-Factor Weighted Learning and Adjacent Generation Dimension Crossover Strategy.Biomimetics (Basel, Switzerland) · 2026Article
- Based on binary evolution operator-enhanced black-kite algorithm with natural replacement for engineering numerical optimization problems.Scientific reports · 2026Article
- Black-Winged Kite Algorithm Integrating Opposition-Based Learning and Quasi-Newton Strategy.Biomimetics (Basel, Switzerland) · 2026Article
- HyperTransFusion: a hypernetwork transformer with black winged kite optimization for multimodal early Alzheimer's disease diagnosis.Frontiers in digital health · 2026Article
- Ship Motion Attitude Prediction Model Based on FMD-IBKA-BTGN.Sensors (Basel, Switzerland) · 2025Article
- Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2025Article
- A Hybrid Black-Winged Kite Algorithm with PSO and Differential Mutation for Superior Global Optimization and Engineering Applications.Biomimetics (Basel, Switzerland) · 2025Article
- A black-winged kite optimization algorithm enhanced by osprey optimization and vertical and horizontal crossover improvement.Scientific reports · 2025Article
- MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification.Biomimetics (Basel, Switzerland) · 2025Article
- An innovative complex-valued encoding black-winged kite algorithm for global optimization.Scientific reports · 2025Article
- A New Single-Parameter Bees Algorithm.Biomimetics (Basel, Switzerland) · 2024Article
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3 authors.
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Abstract
Swarm intelligence optimization methods have steadily gained popularity as a solution to multi-objective optimization issues in recent years. Their study has garnered a lot of attention since multi-objective optimization problems have a hard high-dimensional goal space. The black-winged kite optimization algorithm still suffers from the imbalance between global search and local development capabilities, and it is prone to local optimization even though it combines Cauchy mutation to enhance the algorithm's optimization ability. The heuristic optimization algorithm of the black-winged kite fused with osprey (OCBKA), which initializes the population by logistic chaotic mapping and fuses the osprey optimization algorithm to improve the search performance of the algorithm, is proposed as a means of enhancing the search ability of the black-winged kite algorithm (BKA). By using numerical comparisons between the CEC2005 and CEC2021 benchmark functions, along with other swarm intelligence optimization methods and the solutions to three engineering optimization problems, the upgraded strategy's efficacy is confirmed. Based on numerical experiment findings, the revised OCBKA is very competitive because it can handle complicated engineering optimization problems with a high convergence accuracy and quick convergence time when compared to other comparable algorithms.
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