Imagen de Portada

Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Antipov, Denis, Neumann, Aneta, Neumann, Frank
Formato:	Preprint
Publicado:	2024
Materias:	Neural and Evolutionary Computing Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
por: Antipov, Denis, et al.
Publicado: (2024)

Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem
por: Pathiranage, Ishara Hewa, et al.
Publicado: (2024)

Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems
por: Ahouei, Saba Sadeghi, et al.
Publicado: (2025)

Theoretical Analysis of Quality Diversity Algorithms for a Classical Path Planning Problem
por: Dang, Duc-Cuong, et al.
Publicado: (2024)

A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis
por: Doerr, Benjamin, et al.
Publicado: (2024)

On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem
por: Pathiranage, Ishara Hewa, et al.
Publicado: (2026)

Bi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling Problem under Uncertainty with Chance Constraints
por: Pathiranage, Ishara Hewa, et al.
Publicado: (2025)

Evolutionary Multi-Objective Diversity Optimization
por: Do, Anh Viet, et al.
Publicado: (2024)

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

Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions
por: Yan, Xiankun, et al.
Publicado: (2024)

Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
por: Neumann, Aneta, et al.
Publicado: (2020)

Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
por: Neumann, Frank, et al.
Publicado: (2024)

Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
por: Neumann, Frank, et al.
Publicado: (2024)

Already Moderate Population Sizes Provably Yield Strong Robustness to Noise
por: Antipov, Denis, et al.
Publicado: (2024)

Quality Diversity Genetic Programming for Learning Scheduling Heuristics
por: Xu, Meng, et al.
Publicado: (2025)

Parent Selection Mechanisms in Elitist Crossover-Based Algorithms
por: Opris, Andre, et al.
Publicado: (2026)

When Switching Algorithms Helps: A Theoretical Study of Online Algorithm Selection
por: Antipov, Denis, et al.
Publicado: (2026)

Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions
por: Perera, Kokila Kasuni, et al.
Publicado: (2025)

Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem
por: Don, Thilina Pathirage, et al.
Publicado: (2025)

Greedy Approaches for Packing While Travelling with Deterministic and Stochastic Constraints
por: Don, Thilina Pathirage, et al.
Publicado: (2026)

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
por: Pan, Shuaiqun, et al.
Publicado: (2025)

Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution
por: Antipov, Denis, et al.
Publicado: (2021)

Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms
por: Dong, Ting, et al.
Publicado: (2024)

Subfunction Structure Matters: A New Perspective on Local Optima Networks
por: Thomson, S. L., et al.
Publicado: (2025)

Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem
por: Perera, Kokila Kasuni, et al.
Publicado: (2024)

Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
por: Perera, Kokila Kasuni, et al.
Publicado: (2025)

On the Use of Bi-Objective Evolutionary Algorithms for the Stochastic MKP under Dynamic Constraints
por: Pathiranage, Ishara Hewa, et al.
Publicado: (2026)

Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem
por: Ahouei, Saba Sadeghi, et al.
Publicado: (2024)

Multimodal Optimization with k-Cluster Big Bang-Big Crunch Algorithm and Postprocessing Methods for Identification and Quantification of Optima
por: Yenin, Kemal Erdem, et al.
Publicado: (2023)

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

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

Plus Strategies are Exponentially Slower for Planted Optima of Random Height
por: Lengler, Johannes, et al.
Publicado: (2024)

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

Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
por: Antipov, Denis, et al.
Publicado: (2024)

The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics
por: Angmalisang, Helen Yuliana, et al.
Publicado: (2026)

Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
por: Richter, Hendrik, et al.
Publicado: (2026)

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
por: Ding, Li, et al.
Publicado: (2023)

How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
por: Doerr, Benjamin, et al.
Publicado: (2023)

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization
por: Qi, Biqing, et al.
Publicado: (2024)

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
por: Zhao, Qi, et al.
Publicado: (2022)