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Articles published in International Journal of Swarm Intelligence and Evolutionary Computation have been cited by esteemed scholars and scientists all around the world. International Journal of Swarm Intelligence and Evolutionary Computation has got h-index 11, which means every article in International Journal of Swarm Intelligence and Evolutionary Computation has got 11 average citations.
Following are the list of articles that have cited the articles published in International Journal of Swarm Intelligence and Evolutionary Computation.
| Journal total citations count | 510 |
| Journal impact factor | 1.61 |
| Journal 5 years impact factor | 2.41 |
| Journal cite score | 2.24 |
| Journal h-index | 11 |
Important citations
Review on Heart Sound Wavelet Neural Network Applications
A Cross Sectional Study: Particle Swarm Optimization
An Enhanced Approach to Memetic Algorithm Used for Character Recognition
Research & Reviews: Journal of Engineering and Technology A Cross Sectional Study: Particle Swarm Optimization
A Cross Sectional Study: Particle Swarm Optimization
Introducing Qualitative and Social Science Factors in Archaeological Modelling: Necessity and Relevance
Research & Reviews: Journal of Engineering and Technology A Cross Sectional Study: Particle Swarm Optimization
A Cross Sectional Study: Particle Swarm Optimization
Smart Built-Environments for People Living with Dementia
Impacts of Attitudes Toward Government and Corporations on Public Trust in Artificial Intelligence
Research & Reviews: Journal of Engineering and Technology A Cross Sectional Study: Particle Swarm Optimization
A Cross Sectional Study: Particle Swarm Optimization
An Adaptive Hybrid Meta-heuristic Approach for Transmission Constrained Multi-objective GEP
Security Constrained MODGTEP using Adaptive Hybrid Meta-heuristic Approach
Research & Reviews: Journal of Engineering and Technology A Cross Sectional Study: Particle Swarm Optimization
A Cross Sectional Study: Particle Swarm Optimization
Position control of brushless DC motor using harmony search algorithm optimization technique
Design of robust control based on linear matrix inequality and a novel hybrid PSO search technique for autonomous underwater vehicle
Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for optimizing PID parameters on Autonomous Underwater Vehicle (AUV) control system
Research & Reviews: Journal of Engineering and Technology A Cross Sectional Study: Particle Swarm Optimization