Copertina

Multimodal Optimization with k-Cluster Big Bang-Big Crunch Algorithm and Postprocessing Methods for Identification and Quantification of Optima

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yenin, Kemal Erdem, Sayin, Reha Oguz, Arar, Kuzey, Atalay, Kadir Kaan, Stroppa, Fabio
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multiple Global Peaks Big Bang-Big Crunch Algorithm for Multimodal Optimization
di: Stroppa, Fabio, et al.
Pubblicazione: (2024)

A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima
di: Iqbal, Zahid, et al.
Pubblicazione: (2020)

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

Escaping Local Optima in Global Placement
di: Xue, Ke, et al.
Pubblicazione: (2024)

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

Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential
di: Antipov, Denis, et al.
Pubblicazione: (2024)

Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments
di: Astar, Ahmet, et al.
Pubblicazione: (2024)

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

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

Enhanced Optimization Strategies to Design an Underactuated Hand Exoskeleton
di: Akbas, Baris, et al.
Pubblicazione: (2024)

Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
di: Jónsson, Björn Þór, et al.
Pubblicazione: (2025)

An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems
di: Zheng, Jiongzhi, et al.
Pubblicazione: (2024)

Expand-and-Cluster: Parameter Recovery of Neural Networks
di: Martinelli, Flavio, et al.
Pubblicazione: (2023)

Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning
di: Xiao, Chengui, et al.
Pubblicazione: (2025)

Evolutionary Robust Clustering Over Time for Temporal Data
di: Zhao, Qi, et al.
Pubblicazione: (2021)

Clustering-based Transfer Learning for Dynamic Multimodal MultiObjective Evolutionary Algorithm
di: Yan, Li, et al.
Pubblicazione: (2025)

Avoiding Redundant Restarts in Multimodal Global Optimization
di: de Nobel, Jacob, et al.
Pubblicazione: (2024)

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification
di: Li, Yiwei, et al.
Pubblicazione: (2025)

Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
di: Ren, Shengjie, et al.
Pubblicazione: (2024)

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

A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
di: Vermetten, Diederick, et al.
Pubblicazione: (2025)

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

MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains
di: Zammit, Marvin, et al.
Pubblicazione: (2024)

A Step towards Interpretable Multimodal AI Models with MultiFIX
di: Malafaia, Mafalda, et al.
Pubblicazione: (2025)

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

In Search of Excellence: SHOA as a Competitive Shrike Optimization Algorithm for Multimodal Problems
di: AbdulKarim, Hanan K., et al.
Pubblicazione: (2024)

Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
di: Ahmad, Ijaz, et al.
Pubblicazione: (2026)

BrainFLORA: Uncovering Brain Concept Representation via Multimodal Neural Embeddings
di: Li, Dongyang, et al.
Pubblicazione: (2025)

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization
di: Kinoshita, Takato, et al.
Pubblicazione: (2022)

Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms
di: Chen, Jintai, et al.
Pubblicazione: (2025)

An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
di: Custode, Leonardo Lucio, et al.
Pubblicazione: (2024)

A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems
di: Chen, Zhiqiu, et al.
Pubblicazione: (2024)

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

Oscillator-Based Associative Memory with Exponential Capacity: Theory, Algorithms, and Hardware Implementation
di: Ogranovich, Arie, et al.
Pubblicazione: (2026)

Towards Faster k-Nearest-Neighbor Machine Translation
di: Shi, Xiangyu, et al.
Pubblicazione: (2023)

k-Winners-Take-All Ensemble Neural Network
di: Agarap, Abien Fred, et al.
Pubblicazione: (2024)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
di: Gupta, Avisek, et al.
Pubblicazione: (2018)

MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
di: Erdem, Omer F., et al.
Pubblicazione: (2026)

NK Hybrid Genetic Algorithm for Clustering
di: Tinós, Renato, et al.
Pubblicazione: (2024)

Uncertainty Quantification in Working Memory via Moment Neural Networks
di: Ma, Hengyuan, et al.
Pubblicazione: (2024)