optmize pathfind: greedy bidi a* search

This commit is contained in:
Evan
2024-11-15 14:01:49 -08:00
parent 5d2526c63f
commit 24121ad41b
+85 -36
View File
@@ -1,76 +1,125 @@
import { PriorityQueue } from "@datastructures-js/priority-queue";
import { Tile } from "./game/Game";
import { manhattanDist } from "./Util";
import { colord } from "colord";
export class AStar {
private openSet: PriorityQueue<{ tile: Tile; fScore: number; }>;
private cameFrom: Map<Tile, Tile>;
private gScore: Map<Tile, number>;
private current: Tile | null;
private fwdOpenSet: PriorityQueue<{ tile: Tile; fScore: number; }>;
private bwdOpenSet: PriorityQueue<{ tile: Tile; fScore: number; }>;
private fwdCameFrom: Map<Tile, Tile>;
private bwdCameFrom: Map<Tile, Tile>;
private fwdGScore: Map<Tile, number>;
private bwdGScore: Map<Tile, number>;
private meetingPoint: Tile | null;
public completed: boolean;
constructor(private src: Tile, private dst: Tile) {
this.openSet = new PriorityQueue<{ tile: Tile; fScore: number; }>(
this.fwdOpenSet = new PriorityQueue<{ tile: Tile; fScore: number; }>(
(a, b) => a.fScore - b.fScore
);
this.cameFrom = new Map<Tile, Tile>();
this.gScore = new Map<Tile, number>();
this.current = null;
this.bwdOpenSet = new PriorityQueue<{ tile: Tile; fScore: number; }>(
(a, b) => a.fScore - b.fScore
);
this.fwdCameFrom = new Map<Tile, Tile>();
this.bwdCameFrom = new Map<Tile, Tile>();
this.fwdGScore = new Map<Tile, number>();
this.bwdGScore = new Map<Tile, number>();
this.meetingPoint = null;
this.completed = false;
this.gScore.set(src, 0);
this.openSet.enqueue({ tile: src, fScore: this.heuristic(src, dst) });
// Initialize forward search
this.fwdGScore.set(src, 0);
this.fwdOpenSet.enqueue({ tile: src, fScore: this.heuristic(src, dst) });
// Initialize backward search
this.bwdGScore.set(dst, 0);
this.bwdOpenSet.enqueue({ tile: dst, fScore: this.heuristic(dst, src) });
}
compute(iterations: number): boolean {
if (this.completed) return true;
while (!this.openSet.isEmpty()) {
while (!this.fwdOpenSet.isEmpty() && !this.bwdOpenSet.isEmpty()) {
iterations--;
this.current = this.openSet.dequeue()!.tile;
if (iterations <= 0) {
return false;
}
if (iterations <= 0) return false;
if (this.current === this.dst) {
// Process forward search
const fwdCurrent = this.fwdOpenSet.dequeue()!.tile;
if (this.bwdGScore.has(fwdCurrent)) {
// We found a meeting point!
this.meetingPoint = fwdCurrent;
this.completed = true;
return true;
}
for (const neighbor of this.current.neighborsWrapped()) {
if (neighbor != this.dst && neighbor.isLand()) continue; // Skip non-water tiles
this.expandNode(fwdCurrent, true);
const tentativeGScore = this.gScore.get(this.current)! + 3 - Math.max(1, Math.min(neighbor.magnitude() / 4, 2));
if (!this.gScore.has(neighbor) || tentativeGScore < this.gScore.get(neighbor)!) {
this.cameFrom.set(neighbor, this.current);
this.gScore.set(neighbor, tentativeGScore);
const fScore = tentativeGScore + this.heuristic(neighbor, this.dst);
this.openSet.enqueue({ tile: neighbor, fScore: fScore });
}
// Process backward search
const bwdCurrent = this.bwdOpenSet.dequeue()!.tile;
if (this.fwdGScore.has(bwdCurrent)) {
// We found a meeting point!
this.meetingPoint = bwdCurrent;
this.completed = true;
return true;
}
this.expandNode(bwdCurrent, false);
}
return this.completed;
}
private expandNode(current: Tile, isForward: boolean) {
for (const neighbor of current.neighborsWrapped()) {
if (neighbor !== (isForward ? this.dst : this.src) && neighbor.isLand()) continue;
const gScore = isForward ? this.fwdGScore : this.bwdGScore;
const openSet = isForward ? this.fwdOpenSet : this.bwdOpenSet;
const cameFrom = isForward ? this.fwdCameFrom : this.bwdCameFrom;
let tentativeGScore = gScore.get(current)! + 1;
if (neighbor.magnitude() < 10) {
tentativeGScore += 1;
}
if (!gScore.has(neighbor) || tentativeGScore < gScore.get(neighbor)!) {
cameFrom.set(neighbor, current);
gScore.set(neighbor, tentativeGScore);
const fScore = tentativeGScore + this.heuristic(
neighbor,
isForward ? this.dst : this.src
);
openSet.enqueue({ tile: neighbor, fScore: fScore });
}
}
}
private heuristic(a: Tile, b: Tile): number {
// Manhattan distance
return Math.abs(a.cell().x - b.cell().x) + Math.abs(a.cell().y - b.cell().y);
return 1.1 * Math.abs(a.cell().x - b.cell().x) + Math.abs(a.cell().y - b.cell().y);
}
public reconstructPath(): Tile[] {
const path = [this.current!];
while (this.cameFrom.has(this.current!)) {
this.current = this.cameFrom.get(this.current!)!;
path.unshift(this.current);
if (!this.meetingPoint) return [];
// Reconstruct path from start to meeting point
const fwdPath: Tile[] = [this.meetingPoint];
let current = this.meetingPoint;
while (this.fwdCameFrom.has(current)) {
current = this.fwdCameFrom.get(current)!;
fwdPath.unshift(current);
}
return path;
// Reconstruct path from meeting point to goal
current = this.meetingPoint;
while (this.bwdCameFrom.has(current)) {
current = this.bwdCameFrom.get(current)!;
fwdPath.push(current);
}
return fwdPath;
}
}
export class PathFinder {
private curr: Tile = null