# Differential evolution with hybrid parameters and mutation strategies based on reinforcement learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/differential-evolution-with-hybrid-parameters-and-mutation-strategies-based-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhiping Tan,Yu Tang,Kangshun Li,Huasheng Huang,Shaoming Luo |
| Citations | 47 |
| DOI | 10.1016/j.swevo.2022.101194 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4306195272 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Shaoming Luo](https://scholariq.org/researchers/shaoming-luo/)

## Paper journal

- [Swarm and Evolutionary Computation](https://scholariq.org/journals/swarm-and-evolutionary-computation/)

## Paper primary topic

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)

## Paper topics

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)
- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.