Solving with Bees Transformative Applications of Artificial Bee Colony Algorithm /
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| Summary: | XVIII, 199 p. 27 illus., 20 illus. in color. text |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Edition: | 1st ed. 2024. |
| Series: | Springer Tracts in Nature-Inspired Computing,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-981-97-7344-2 |
| Format: | Electronic eBook |
Table of Contents:
- Fundamentals of Artificial Bee Colony Algorithms and Its Variants
- The Rise of Artificial Bee Colony Algorithms in Data Science and Machine Learning is Notable
- Swarm Intelligence for Optimization: A Bee's-Eye View on Multi-objective and Dynamic Challenges
- Artificial Bee Colony Algorithms in Control Systems, Robotics and Automation
- Integrating Artificial Bee Colony Algorithms for Deep Learning Model Optimization: A Comprehensive Review
- An IoMT Enabled Iterative Artificial Bee Colony Approach Using Federated Learning for Detection of Heart Disease
- Optimal Design of a Biomedical Amplifier for Minimum Offset Using a Modified ABC Algorithm
- Using Honeybees for Gene Expression Profiling: The Artificial Bee Colony Algorithm to Identify Robust Gene Biomarkers for Clinical Diagnosis
- Smart Diagnostics for Diabetic Retinopathy: Integrating Artificial Bee Colony Algorithms into Medical Image Analysis
- Artificial Bee Colony Algorithms in Gene Expression Studies: A Case Study
- Artificial Bee Colony Algorithm in Multi-Omics Analysis: A Case Study.