ArticleBiomimetics (Basel, Switzerland)2024
A Multi-Objective Optimization Problem Solving Method Based on Improved Golden Jackal Optimization Algorithm and Its 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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Who cites it
11 citing papers in PubMed.
- Ivy Optimization Algorithm Combining Sine-Cosine Operator and Adaptive T-Distribution and Its Engineering Application.Biomimetics (Basel, Switzerland) · 2026Article
- Implementation of Modified Effective Butterfly Optimizer in Solving Multi-Objective Pareto Optimal Power Flow Problem with Renewable Uncertainties.Biomimetics (Basel, Switzerland) · 2026Article
- Trajectory Planning Method for a Robotic Arm Based on an Improved Multi-Objective Golden Jackal Optimization Algorithm.Sensors (Basel, Switzerland) · 2026Article
- Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2025Article
- Snake Optimization Algorithm Augmented by AdaptiveBiomimetics (Basel, Switzerland) · 2025Article
- Hybrid Multi-Objective Chameleon Optimization Algorithm Based on Multi-Strategy Fusion and Its Applications.Biomimetics (Basel, Switzerland) · 2024Article
- Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning.Biomimetics (Basel, Switzerland) · 2024Article
- A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems.Scientific reports · 2024Article
- Bionic 3D Path Planning for Plant Protection UAVs Based on Swarm Intelligence Algorithms and Krill Swarm Behavior.Biomimetics (Basel, Switzerland) · 2024Article
- Solving Engineering Optimization Problems Based on Multi-Strategy Particle Swarm Optimization Hybrid Dandelion Optimization Algorithm.Biomimetics (Basel, Switzerland) · 2024Article
- Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods.Frontiers in cardiovascular medicine · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
The traditional golden jackal optimization algorithm (GJO) has slow convergence speed, insufficient accuracy, and weakened optimization ability in the process of finding the optimal solution. At the same time, it is easy to fall into local extremes and other limitations. In this paper, a novel golden jackal optimization algorithm (SCMGJO) combining sine-cosine and Cauchy mutation is proposed. On one hand, tent mapping reverse learning is introduced in population initialization, and sine and cosine strategies are introduced in the update of prey positions, which enhances the global exploration ability of the algorithm. On the other hand, the introduction of Cauchy mutation for perturbation and update of the optimal solution effectively improves the algorithm's ability to obtain the optimal solution. Through the optimization experiment of 23 benchmark test functions, the results show that the SCMGJO algorithm performs well in convergence speed and accuracy. In addition, the stretching/compression spring design problem, three-bar truss design problem, and unmanned aerial vehicle path planning problem are introduced for verification. The experimental results prove that the SCMGJO algorithm has superior performance compared with other intelligent optimization algorithms and verify its application ability in engineering applications.
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