Estimation of Distribution Algorithms

Published: Jan. 1, 2025

Language: Английский

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Into the Black Box: Mining Variable Importance with XAI

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 20 - 35

Published: Jan. 1, 2025

Language: Английский

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A systematic review of explainability in computational intelligence for optimization

Computer Science Review, Journal Year: 2025, Volume and Issue: 57, P. 100764 - 100764

Published: May 22, 2025

Language: Английский

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A Review of Benchmark and Test Functions for Global Optimization Algorithms and Metaheuristics

Wiley Interdisciplinary Reviews Computational Statistics, Journal Year: 2025, Volume and Issue: 17(2)

Published: May 26, 2025

ABSTRACT Benchmarking in optimization is a critical step evaluating the performance, robustness, and scalability of machine learning algorithms metaheuristics. While trends benchmark design continue to evolve, synthetic functions remain vital for fundamental stress tests theoretical evaluations. As several test have been developed derived over past decades, little attention has given classifying such rationale behind their usage. From this lens, paper reviews categorizes broad range often employed assessing optimizers More specifically, we classify based on modality, dimensionality, separability, smoothness, constraints, noise characteristics offer view that aids selecting appropriate benchmarks various algorithmic challenges. Then, review also discusses detail 25 most commonly used open literature proposes two new, highly dimensional, dynamic, challenging could be testing new algorithms. Finally, identifies gaps current benchmarking practices directions future research, as well suggests best guidelines.

Language: Английский

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Explaining a Staff Rostering Problem Using Partial Solutions

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 179 - 193

Published: Nov. 28, 2024

Language: Английский

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