The educational competition optimizer
Zhejiang A & F University · University of Tehran · +1 more institution
Abstract
In recent research, metaheuristic strategies stand out as powerful tools for complex optimization, capturing widespread attention. This study proposes the Educational Competition Optimizer (ECO), an algorithm created for diverse optimization tasks. ECO draws inspiration from the competitive dynamics observed in real-world educational resource allocation scenarios, harnessing this principle to refine its search process. To further boost its efficiency, the algorithm divides the iterative process into three distinct phases: elementary, middle, and high school. Through this stepwise approach, ECO gradually narrows down the pool of potential solutions, mirroring the gradual competition witnessed within educational…
Citation impact
- FWCI
- 33.99
- Percentile
- 100%
- References
- 65
Authors
8Topics & keywords
- Competition (biology)
- Computer science
- Mathematical economics
- Operations research
- Mathematical optimization
- Mathematics
- Biology