Copertina

Exploratory Landscape Analysis for Mixed-Variable Problems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Prager, Raphael Patrick, Trautmann, Heike
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
di: Dietrich, Konstantin, et al.
Pubblicazione: (2024)

MO-ELA: Rigorously Expanding Exploratory Landscape Features for Automated Algorithm Selection in Continuous Multi-Objective Optimisation
di: Preuß, Oliver, et al.
Pubblicazione: (2026)

Towards Exploratory Quality Diversity Landscape Analysis
di: Mosphilis, Kyriacos, et al.
Pubblicazione: (2024)

LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
di: Skvorc, Urban, et al.
Pubblicazione: (2026)

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
di: Ma, Zeyuan, et al.
Pubblicazione: (2024)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
di: Vermetten, Diederick, et al.
Pubblicazione: (2024)

Floorplanning of VLSI by Mixed-Variable Optimization
di: Sun, Jian, et al.
Pubblicazione: (2024)

Analyzing the Landscape of the Indicator-based Subset Selection Problem
di: Korogi, Keisuke, et al.
Pubblicazione: (2025)

A Landscape-Aware Differential Evolution for Multimodal Optimization Problems
di: Lin, Guo-Yun, et al.
Pubblicazione: (2024)

Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables
di: Akimoto, Youhei, et al.
Pubblicazione: (2025)

CatCMA : Stochastic Optimization for Mixed-Category Problems
di: Hamano, Ryoki, et al.
Pubblicazione: (2024)

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
di: Neumann, Frank, et al.
Pubblicazione: (2021)

CatCMA with Margin for Single- and Multi-Objective Mixed-Variable Black-Box Optimization
di: Hamano, Ryoki, et al.
Pubblicazione: (2025)

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging
di: Niloy, Md. Robiul Islam
Pubblicazione: (2026)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
di: Rodriguez, C. J., et al.
Pubblicazione: (2024)

Random-Key Optimizer and Linearization for the Quadratic Multiple Constraints Variable-Sized Bin Packing Problem
di: Santos, Natalia A., et al.
Pubblicazione: (2025)

Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
di: Du, Yukun, et al.
Pubblicazione: (2025)

Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem
di: Harder, Jonathan Gadea, et al.
Pubblicazione: (2024)

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
di: Vermetten, Diederick, et al.
Pubblicazione: (2024)

Analysis of Multitasking Pareto Optimization for Monotone Submodular Problems
di: Wigney, Liam, et al.
Pubblicazione: (2026)

An Instance Space Analysis of Constrained Multi-Objective Optimization Problems
di: Alsouly, Hanan, et al.
Pubblicazione: (2022)

Self-Adjusting Evolutionary Algorithms Are Slow on Multimodal Landscapes
di: Lengler, Johannes, et al.
Pubblicazione: (2024)

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes
di: Nikolikj, Ana, et al.
Pubblicazione: (2025)

On the Problem Characteristics of Multi-objective Pseudo-Boolean Functions in Runtime Analysis
di: Liang, Zimin, et al.
Pubblicazione: (2025)

On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
di: Gjorgjieva, Sara, et al.
Pubblicazione: (2026)

Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
di: Long, Fu Xing, et al.
Pubblicazione: (2024)

Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
di: Ma, Zeyuan, et al.
Pubblicazione: (2025)

Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks
di: Mizuta, Kippei, et al.
Pubblicazione: (2026)

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
di: Uchida, Kento, et al.
Pubblicazione: (2024)

Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey
di: Talbi, El-Ghazali
Pubblicazione: (2024)

Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
di: Yin, Haoran, et al.
Pubblicazione: (2026)

Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
di: Xiang, Meng, et al.
Pubblicazione: (2026)

Mapping Literature Landscapes with Data-Driven Discovery: A Case Study on MOEA/D
di: Huang, Mingyu, et al.
Pubblicazione: (2024)

Octopus Inspired Optimization (OIO): A Hierarchical Framework for Navigating Protein Fitness Landscapes
di: Wang, Xu, et al.
Pubblicazione: (2024)

Crafting Generative Art through Genetic Improvement: Managing Creative Outputs in Diverse Fitness Landscapes
di: Fredericks, Erik M., et al.
Pubblicazione: (2024)

Improved Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Two Generalized OneMax Problems
di: Adak, Sumit, et al.
Pubblicazione: (2025)

Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables
di: Jedidia, Firas Ben, et al.
Pubblicazione: (2023)

On the Use of Iterative Problem Solving for the Traveling Salesperson Problem with Changing Time Window Constraints
di: Nguyen, Hy, et al.
Pubblicazione: (2026)

The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing
di: Bouter, Anton, et al.
Pubblicazione: (2025)

Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization
di: Glasmachers, Tobias
Pubblicazione: (2024)