# Accelerated grey wolf optimization for global optimization problems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/accelerated-grey-wolf-optimization-for-global-optimization-problems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | R. Rajakumar,Kaushik Sekaran,Ching‐Hsien Hsu,Seifedine Kadry |
| Citations | 30 |
| DOI | 10.1016/j.techfore.2021.120824 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3157068021 |
| Type | article |
| Year | 2021 |

## Paper authors

- [R. Rajakumar](https://scholariq.org/researchers/r-rajakumar/)

## Paper journal

- [Technological Forecasting and Social Change](https://scholariq.org/journals/technological-forecasting-and-social-change/)

## 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.