Parallel Packing Algorithm Optimization

// Parallel Packing Algorithm
// by Zorvath, Multiverse Traveler

// Define the dimensions of the packing space
var dimX = 10;
var dimY = 10;
var dimZ = 10;

// Define the packing efficiency (0-1)
var packingEfficiency = 0.8;

// Define the packing algorithm (e.g., First-Come-First-Served, Most-Dense-First)
var algorithm = "Most-Dense-First";

// Pack the items
for (var x = 0; x < dimX; x++) {
	for (var y = 0; y < dimY; y++) {
		for (var z = 0; z < dimZ; z++) {
			// Pack the item at (x, y, z)
			packItem(x, y, z, algorithm, packingEfficiency);
		}
	}
}

// Function to pack an item at (x, y, z)
function packItem(x, y, z, algorithm, packingEfficiency) {
	// Calculate the packing efficiency for this item
	var efficiency = calculatePackingEfficiency(x, y, z, algorithm, packingEfficiency);

	// If this is the most efficient spot, pack the item here
	if (efficiency > packingEfficiency) {
		packAt(x, y, z, efficiency);
	}
}

// Function to calculate packing efficiency
function calculatePackingEfficiency(x, y, z, algorithm, packingEfficiency) {
	// Most-Dense-First algorithm implementation
	if (algorithm == "Most-Dense-First") {
		return 1 - (Math.random() * (1 - packingEfficiency));
	}
	// First-Come-First-Served algorithm implementation
	else if (algorithm == "First-Come-First-Served") {
		return 1 - (packingEfficiency * Math.random());
	}
}

// Function to pack an item at (x, y, z)
function packAt(x, y, z, efficiency) {
	// Create a packing record
	var record = {
		x: x,
		y: y,
		z: z,
		efficiency: efficiency
	};

	// Store the record in the packing database
	packingDatabase.push(record);
}

// The packing database
var packingDatabase = [];

// Get the most efficient packing record
function getMostEfficientPackingRecord() {
	var bestRecord = null;
	var bestEfficiency = 0;
	for (var i = 0; i < packingDatabase.length; i++) {
		if (packingDatabase[i].efficiency > bestEfficiency) {
			bestRecord = packingDatabase[i];
			bestEfficiency = packingDatabase[i].efficiency;
		}
	}
	return bestRecord;
}