A5102951725- Advanced Multi-Objective Optimization Algorithms
- Advanced Optimization Algorithms Research
- Advanced Statistical Process Monitoring
- Multi-Criteria Decision Making
- Advanced Control Systems Optimization
- Optimization and Mathematical Programming
- Neural Networks and Applications
- Advanced Statistical Methods and Models
- Control Systems and Identification
- Fuzzy Systems and Optimization
- Metaheuristic Optimization Algorithms Research
- Optimization and Packing Problems
Dongguan University of Technology
2024
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Abstract Data aggregation serves as a crucial technique in data analysis, particularly the context of dimensionality reduction. The most common approach involves employing statistical metrics such mean, median, and others to characterize dataset. However, different may yield disparate results, making discrimination selection suitable for describing research topic. Addressing this, paper proposes generalized metric, categorizing several commonly used under specific scenarios. This model...
Numerical comparison is essential for evaluating an optimization algorithm. Unfortunately, recent research has shown that two paradoxes may occur, namely the cycle ranking paradox and survival of nonfittest paradox. Further exploitation reveals these stem from method data analysis, especially its strategy. Therefore, design widespread use paradox-free analysis methods become urgent. This paper dedicated to reviewing progress in numerical comparisons algorithms, reasons ways eliminate them....