| Random_search |
|
|
|
|
| PSO |
Single-Objective Optimization |
BBO |
Particle swarm optimization |
1995 |
| DE |
Single-Objective Optimization |
BBO |
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces |
1997 |
| CMAES |
Single-Objective Optimization |
BBO |
Completely Derandomized Self-Adaptation in Evolution Strategies |
2001 |
| SHADE |
Single-Objective Optimization |
BBO |
Success-history based parameter adaptation for differential evolution |
2013 |
| GLPSO |
Single-Objective Optimization |
BBO |
Genetic Learning Particle Swarm Optimization |
2015 |
| SDMSPSO |
Single-Objective Optimization |
BBO |
A Self-adaptive Dynamic Particle Swarm Optimizer |
2015 |
| SAHLPSO |
Single-Objective Optimization |
BBO |
Self-Adaptive two roles hybrid learning strategies-based particle swarm optimization |
2021 |
| JDE21 |
Single-Objective Optimization |
BBO |
Self-adaptive Differential Evolution Algorithm with Population Size Reduction for Single Objective Bound-Constrained Optimization: Algorithm j21 |
2021 |
| MADDE |
Single-Objective Optimization |
BBO |
Improving Differential Evolution through Bayesian Hyperparameter Optimization |
2021 |
| NLSHADELBC |
Single-Objective Optimization |
BBO |
NL-SHADE-LBC algorithm with linear parameter adaptation bias change for CEC 2022 Numerical Optimization |
2022 |
| MOEAD |
Multi-Objective Optimization |
BBO |
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition |
2007 |
| MFEA |
Multi-Task Optimization |
BBO |
Multifactorial Evolution: Toward Evolutionary Multitasking |
2016 |
| RNNOPT |
Single-Objective Optimization |
MetaBBO |
Learning to learn without gradient descent by gradient descent |
2017 |
| QLPSO |
Single-Objective Optimization |
MetaBBO |
A reinforcement learning-based communication topology in particle swarm optimization |
2019 |
| DEDDQN |
Single-Objective Optimization |
MetaBBO |
Deep reinforcement learning based parameter control in differential evolution |
2019 |
| DEDQN |
Single-Objective Optimization |
MetaBBO |
Differential evolution with mixed mutation strategy based on deep reinforcement learning |
2021 |
| LDE |
Single-Objective Optimization |
MetaBBO |
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient |
2021 |
| RLPSO |
Single-Objective Optimization |
MetaBBO |
Employing reinforcement learning to enhance particle swarm optimization methods |
2021 |
| RLEPSO |
Single-Objective Optimization |
MetaBBO |
RLEPSO:Reinforcement learning based Ensemble particle swarm optimizer |
2022 |
| RLHPSDE |
Single-Objective Optimization |
MetaBBO |
Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning |
2022 |
| NRLPSO |
Single-Objective Optimization |
MetaBBO |
Reinforcement learning-based particle swarm optimization with neighborhood differential mutation strategy |
2023 |
| OPRO |
Single-Objective Optimization |
MetaBBO |
Large Language Models as Optimizers |
2024 |
| RLDAS |
Single-Objective Optimization |
MetaBBO |
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution |
2024 |
| SYMBOL |
Single-Objective Optimization |
MetaBBO |
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning |
2024 |
| GLEET |
Single-Objective Optimization |
MetaBBO |
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning |
2024 |
| RLDEAFL |
Single-Objective Optimization |
MetaBBO |
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning |
2025 |
| Surr_RLDE |
Single-Objective Optimization |
MetaBBO |
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study |
2025 |
| MADAC |
Multi-Objective Optimization |
MetaBBO |
Multi-agent Dynamic Algorithm Configuration |
2022 |
| LGA |
Large Scale Global Optimization |
MetaBBO |
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization |
2023 |
| LES |
Large Scale Global Optimization |
MetaBBO |
Discovering evolution strategies via meta-black-box optimization |
2023 |
| GLHF |
Large Scale Global Optimization |
MetaBBO |
Pretrained Optimization Model for Zero-Shot Black Box Optimization |
2024 |
| B2OPT |
Large Scale Global Optimization |
MetaBBO |
B2Opt: Learning to Optimize Black-box Optimization with Little Budget |
2025 |
| PSORLNS |
Multi-Modal Optimization |
MetaBBO |
A reinforcement learning-based neighborhood search operator for multi-modal optimization and its applications |
2024 |
| RLEMMO |
Multi-Modal Optimization |
MetaBBO |
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning |
2024 |
| L2T |
Multi-Task Optimization |
MetaBBO |
Learning to Transfer for Evolutionary Multitasking |
2024 |