A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
Fuente:
arXiv
Guardado en:
| Autores principales: | LaTorre, Antonio, Molina, Daniel, Osaba, Eneko, Del Ser, Javier, Herrera, Francisco |
|---|---|
| Formato: | Preprint |
| Publicado: |
2020
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
por: Osaba, Eneko, et al.
Publicado: (2024)
por: Osaba, Eneko, et al.
Publicado: (2024)
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
por: Naharro, Pablo S., et al.
Publicado: (2024)
por: Naharro, Pablo S., et al.
Publicado: (2024)
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
por: Molina, Daniel, et al.
Publicado: (2025)
por: Molina, Daniel, et al.
Publicado: (2025)
Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms
por: Caro, Rosana, et al.
Publicado: (2025)
por: Caro, Rosana, et al.
Publicado: (2025)
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations
por: Osaba, Eneko, et al.
Publicado: (2024)
por: Osaba, Eneko, et al.
Publicado: (2024)
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
por: Poyatos, Javier, et al.
Publicado: (2023)
por: Poyatos, Javier, et al.
Publicado: (2023)
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
por: Poyatos, Javier, et al.
Publicado: (2024)
por: Poyatos, Javier, et al.
Publicado: (2024)
Model calibration using a parallel differential evolution algorithm in computational neuroscience: simulation of stretch induced nerve deficit
por: LaTorre, Antonio, et al.
Publicado: (2024)
por: LaTorre, Antonio, et al.
Publicado: (2024)
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
por: Terres-Escudero, Erik B., et al.
Publicado: (2024)
por: Terres-Escudero, Erik B., et al.
Publicado: (2024)
Bio-inspired Optimization: metaheuristic algorithms for optimization
por: Game, Pravin S, et al.
Publicado: (2020)
por: Game, Pravin S, et al.
Publicado: (2020)
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
por: Poyatos, Javier, et al.
Publicado: (2022)
por: Poyatos, Javier, et al.
Publicado: (2022)
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
por: Ramirez-Atencia, Cristian, et al.
Publicado: (2024)
por: Ramirez-Atencia, Cristian, et al.
Publicado: (2024)
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization
por: Terres-Escudero, Erik B., et al.
Publicado: (2024)
por: Terres-Escudero, Erik B., et al.
Publicado: (2024)
Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis
por: Cenikj, Gjorgjina, et al.
Publicado: (2025)
por: Cenikj, Gjorgjina, et al.
Publicado: (2025)
A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
por: Ibrahim, Amin, et al.
Publicado: (2024)
por: Ibrahim, Amin, et al.
Publicado: (2024)
Bombardier Beetle Optimizer: A Novel Bio-Inspired Algorithm for Global Optimization
por: Shehadeh, Hisham A., et al.
Publicado: (2025)
por: Shehadeh, Hisham A., et al.
Publicado: (2025)
ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm
por: Panigrahi, Niranjan, et al.
Publicado: (2024)
por: Panigrahi, Niranjan, et al.
Publicado: (2024)
Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
por: He, Yifan, et al.
Publicado: (2024)
por: He, Yifan, et al.
Publicado: (2024)
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
por: Chen, Kesheng, et al.
Publicado: (2026)
por: Chen, Kesheng, et al.
Publicado: (2026)
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
por: Lee, Sungwoo, et al.
Publicado: (2023)
por: Lee, Sungwoo, et al.
Publicado: (2023)
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
por: Neumann, Frank, et al.
Publicado: (2024)
por: Neumann, Frank, et al.
Publicado: (2024)
Application of the Brain Drain Optimization Algorithm to the N-Queens Problem
por: Jolfaei, Sahar Ramezani, et al.
Publicado: (2025)
por: Jolfaei, Sahar Ramezani, et al.
Publicado: (2025)
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
por: Han, Bing, et al.
Publicado: (2022)
por: Han, Bing, et al.
Publicado: (2022)
OPAL: Operator-Programmed Algorithms for Landscape-Aware Black-Box Optimization
por: Lian, Junbo Jacob, et al.
Publicado: (2025)
por: Lian, Junbo Jacob, et al.
Publicado: (2025)
Evolution of Optimization Algorithms for Global Placement via Large Language Models
por: Yao, Xufeng, et al.
Publicado: (2025)
por: Yao, Xufeng, et al.
Publicado: (2025)
Runtime Analysis of Evolutionary Algorithms for Multi-party Multi-objective Optimization
por: Sun, Yuetong, et al.
Publicado: (2025)
por: Sun, Yuetong, et al.
Publicado: (2025)
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
por: Yu, He, et al.
Publicado: (2024)
por: Yu, He, et al.
Publicado: (2024)
A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease
por: Sen, Anuvab, et al.
Publicado: (2024)
por: Sen, Anuvab, et al.
Publicado: (2024)
Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization
por: Tao, Peng, et al.
Publicado: (2024)
por: Tao, Peng, et al.
Publicado: (2024)
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations
por: Hummos, Ali
Publicado: (2022)
por: Hummos, Ali
Publicado: (2022)
Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
por: Xie, Lindong, et al.
Publicado: (2025)
por: Xie, Lindong, et al.
Publicado: (2025)
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
por: Ahmed, Aram M., et al.
Publicado: (2025)
por: Ahmed, Aram M., et al.
Publicado: (2025)
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems
por: Chauhan, Dikshit, et al.
Publicado: (2025)
por: Chauhan, Dikshit, et al.
Publicado: (2025)
Multiple Global Peaks Big Bang-Big Crunch Algorithm for Multimodal Optimization
por: Stroppa, Fabio, et al.
Publicado: (2024)
por: Stroppa, Fabio, et al.
Publicado: (2024)
Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
por: Stegherr, Helena, et al.
Publicado: (2026)
por: Stegherr, Helena, et al.
Publicado: (2026)
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
por: Yang, Xu, et al.
Publicado: (2025)
por: Yang, Xu, et al.
Publicado: (2025)
Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
por: Lallouet, Noé, et al.
Publicado: (2025)
por: Lallouet, Noé, et al.
Publicado: (2025)
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms
por: Dong, Ting, et al.
Publicado: (2024)
por: Dong, Ting, et al.
Publicado: (2024)
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
por: Zhao, Qi, et al.
Publicado: (2022)
por: Zhao, Qi, et al.
Publicado: (2022)
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity
por: Chandrasekaran, Sowmya, et al.
Publicado: (2024)
por: Chandrasekaran, Sowmya, et al.
Publicado: (2024)
Ejemplares similares
-
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
por: Osaba, Eneko, et al.
Publicado: (2024) -
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
por: Naharro, Pablo S., et al.
Publicado: (2024) -
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
por: Molina, Daniel, et al.
Publicado: (2025) -
Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms
por: Caro, Rosana, et al.
Publicado: (2025) -
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations
por: Osaba, Eneko, et al.
Publicado: (2024)