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[ FLAGSHIP GAME ]
SEED: 0x8F9C4A21 (Daily Tournament)
MISSILE DEFENDER: AEGIS PROTOCOL
Solve the Weapon-Target Assignment (WTA) problem. Defend 6 cities from multi-wave ballistic & hypersonic strikes.
PRESET BOT:
CALLSIGN:
Click any block to customize execution behavior:
1. ON RADAR SWEEP(threats, silos, cities)
TRIGGER
Receives radar azimuth pings and surviving cities for tick \(t\).
2. FILTER DECOYS (min_rcs: 0.2 m²)
PERCEPTION
Ignores chaff blips to conserve interceptor silo ammunition.
3. PREDICT TRAJECTORIES (Lookahead: 18 ticks)
KINEMATICS
Calculates lead intercept coordinates \((X_c, Y_c)\) from velocity vectors.
4. HUNGARIAN WEAPON-TARGET ASSIGNMENT
OPTIMIZER
Solves bipartite matching between ready silos and highest threat targets.
5. LAUNCH INTERCEPTORS (silo_id, target)
ACTUATOR
Dispatches kinetic interceptor missiles towards calculated detonations.
Deterministic Bot Code (Generated & Editable):
TICK: 0
SCORE: 0
CITIES: 6/6
AMMO: 50
HASH: 0xcbf29ce4
ACTIVE BOT: Alpha-LeadPursuit
RADAR BLIPS: 0
SPEED:
[ AUTHORITATIVE RANKINGS ]
GLOBAL VERIFIED LEADERBOARD
All high scores are verified deterministically tick-by-tick on the backend worker.
| RANK | BOT NAME | AUTHOR | SCORE | CITIES SAVED | NEUTRALIZED | VERIFIED HASH | REPLAY |
|---|
[ SECURE WEBMAIL • botwars.cc ]
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[ COMMUNITY & CODE ]
ALGORITHMIC STRATEGY FORUM
Discuss mathematical formulations, share deterministic bot code, and review benchmark solvers.
ACTIVE LAUNCH CHALLENGE
Weapon-Target Assignment (WTA)
Real-world air and missile defense requires combinatorial assignment of interceptors against dense threat salvos under kinematic time-to-impact limits.
Key Mathematical Formulations:
• Bipartite Matching: Kuhn-Munkres (Hungarian algorithm) in \(O(N^3)\)
• Proportional Navigation (ProNav) & Zero-Effort Miss (ZEM)
• Multi-Sensor Track Association & \(\alpha-\beta\) / Kalman Filtering
UPCOMING CHALLENGE
Protein Folding Lattice Energy Minimization
Predicting the 3D structure of proteins is an NP-complete optimization challenge. In the HP model, amino acids are classified as Hydrophobic (H) or Polar (P).
Key Mathematical Formulations:
• Self-Avoiding Walks on 2D Square & 3D Cubic Lattices
• Energy Function: \(\min E = - \sum \epsilon \cdot \delta(h_i, h_j)\)
• Monte Carlo Tree Search (MCTS) & Genetic Heuristics