I'm a new programmer currently coding a javascript alpha-beta pruning minimax algorithm for my chess engine, using Chess.js and Chessboard.js. I've implemented a basic algorithm with move ordering. Currently, it's evaluating around 14000 nodes for 8 seconds, which is way too slow. Is there something wrong with my algorithm or are there optimizations that I haven't implemented? My algorithm can't process anything deeper than depth 4 within reasonable time constraints. Thank you. P.S. the "tracking Eval" function just evaluates each specific move as a way to avoid doing a full evaluation of boards at leaf nodes, this optimization sped up my program by around 50%, but it's still slow right now.
function minimax(game, depth, distanceFromRoot, alpha, beta, gameEval) {//returns gameEval
if (depth === 0) {
nodeNum++;
if(game.turn() === 'b'){
return (-gameEval / 8);
}else{
return (gameEval / 8);
}
}
// run eval
var prevEval = gameEval;
var moves = game.moves();
moveOrdering(moves);
var bestMove = null;
var bestEval = null;
for (let i = 0; i < moves.length; i++) {
var gameCopy = new Chess()//dummy board to pass down
gameCopy.load(game.fen())
const moveInfo = gameCopy.move(moves[i])
var curGameCopy = new Chess()//static board to eval, before the move so we know which piece was taken if a capture occurs
curGameCopy.load(game.fen())
var curEval = trackingEval(curGameCopy, prevEval, moveInfo, moves[i]); //returns the OBJECTIVE eval for the current move for current move sequence
var evaluated = -minimax(gameCopy, depth - 1, distanceFromRoot + 1, -beta, -alpha, curEval);//pass down the current eval for that move
if (evaluated >= beta) {
return beta;
}
if (evaluated > alpha){
alpha = evaluated
bestMove = moves[i]
bestEval = evaluated;
if (distanceFromRoot === 0) {
bestEval = evaluated;
}
}
}
if(distanceFromRoot === 0){
setEval(-bestEval)
return bestMove;
}
return alpha;
}