Racer 1
Racer 2
Racer 3
Racer 4
💡 Ten optimization algorithms: HTO, SA, Gradient, Adam, Tabu Search, VNS, GRASP, GA, Memetic, and Differential Evolution
Algorithm Racing
Select 4 competitors:
🏇 Live Race Progress
🏆 Scoreboard
No races completed yet
Optimization Algorithm
Network Parameters
Grid Size: 10×10
Min Drainage: 1
Energy Exp (γ): 1.0
Algorithm Parameters
Hill Tunneling (HTO): Makes k sequential swaps before evaluating. Learns successful k values over time. Phase 1 uses uniform random k, Phase 2 uses learned distribution.
Grid Size
Import/Export
Actions
Network Metrics
Total Length: 0
Channel Count: 0
Bifurcation Ratio: 0.0
Total Energy: 0.0
Max Flow: 0
Algorithm Status
Mode: HTO
Status: Phase 1
Evaluations: 0
Improvements: 0
Accept Rate: 0%
Success Lengths: 0