# AI-Driven V2G Optimization: A Comparative Analysis of Q-Learning and Evolutionary Strategies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-driven-v2g-optimization-a-comparative-analysis-of-q-learning-and-evolutionary/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Shobha Rani,V. Nandagopal |
| Citations | 0 |
| DOI | 10.1109/icirca65293.2025.11089678 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4412803575 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [K. Shobha Rani](https://scholariq.org/researchers/k-shobha-rani/)

## Paper primary topic

- [Electric Vehicles and Infrastructure](https://scholariq.org/topics/electric-vehicles-and-infrastructure/)

## Paper topics

- [Electric Vehicles and Infrastructure](https://scholariq.org/topics/electric-vehicles-and-infrastructure/)
- [Advanced MIMO Systems Optimization](https://scholariq.org/topics/advanced-mimo-systems-optimization/)
- [Age of Information Optimization](https://scholariq.org/topics/age-of-information-optimization/)

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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.