map-optimization-strategy

What problem does it solve?

Solves grid-based constraint placement problems on spatial maps where items must be positioned on a grid to optimize an objective while satisfying constraints.

Core Features & Use Cases

• Prune the search space by removing invalid tiles and dominated options to reduce complexity.
• Score and rank candidate tiles by intrinsic value, adjacency potential, and cluster opportunities.
• Anchor-based expansion to assemble high-value placements while enforcing constraints.
• Use Case: Place buildings on a tactical map to maximize resource access while respecting range and terrain constraints.

Quick Start

Apply the three-phase strategy to an input grid by pruning invalid tiles, scoring candidates, and performing anchor-based expansion to produce a valid placement plan.