genetic algorithm implementation

src/index.html

@@ -18,8 +18,10 @@
   <script src="configuration.js"></script>
   <script src="utilities.js"></script>
   <script src="logic/product.js"></script>
+  <script src="logic/knowledge.js"></script>
   <script src="logic/time.js"></script>
   <script src="logic/shelf.js"></script>
+  <script src="logic/evolution.js"></script>
 
   <script src="view/floor.js"></script>
   <script src="view/grid.js"></script>
@@ -28,9 +30,9 @@
   <script src="view/agentController.js"></script>
   <script src="logic/agent.js"></script>
   <script src="view/products.js"></script>
-  <script src="logic/knowledge.js"></script>
   <script src="logic/shop.js"></script>
 	<script src="logic/costMap.js"></script>
+  <script src="view/visualisation.js"></script>
 
   <!-- Main script file -->
   <script src="main.js"></script>
@@ -77,7 +79,7 @@
     </div>
 
     <div class="logs-label">
-      <span>LOGS</span>
+      <span>INFO</span>
     </div>
 
     <div class="content">
@@ -279,7 +281,20 @@
 
     <div class="logs-wrapper">
       <div class="logs-content">
-        <!-- All logs should go here -->
+        <div>
+          Nr <b id="populationIndex"></b> of <b id="populationSize"></b>
+        </div>
+        <div>
+          Similarity:
+          <b id="similarity"></b>
+        </div>
+        <div>
+          Best: <b id="best"></b>
+        </div>
+        <div>Worst: <b id="worst"></b></div>
+        <ul id="history">
+
+        </ul>
       </div>
     </div>
 

src/logic/agent.js

@@ -10,8 +10,7 @@ class Agent extends AgentController {
     const cycle = async () => {
       const jobRequest = Products.instance.getJobRequest();
       if (jobRequest) {
-        const requiredAmount = 50 - jobRequest.amount;
+        await this.takeFromStore(jobRequest.product, jobRequest.amount);
-        await this.takeFromStore(jobRequest.product, requiredAmount);
         await this.deliver(jobRequest.x, jobRequest.y);
       } else {
         await waitFor(1000);
@@ -44,7 +43,7 @@ class Agent extends AgentController {
     Products.instance.exchange(x, y, this.ownedProduct, 50);
 
     this.ownedProductAmount = 0;
-    this.ownedProduct = Product.REGISTRY.empty;
+    this.ownedProduct = null;
   }
 
   /**

src/logic/costMap.js

@@ -36,43 +36,3 @@ class CostMap {
 		}
 	}
 }
-
-class CostMapVisualisation {
-	static instance
-
-	constructor(canvas) {
-		this.canvas = canvas
-		this.ctx = canvas.getContext('2d');
-		canvas.width = 2000
-		canvas.height = 900
-
-		CostMapVisualisation.instance = this
-
-		document.addEventListener('keydown', ({ key }) => {
-			if (key !== 'c')
-				return
-
-			if (this.hasBeenUpdated) {
-				this.ctx.clearRect(0, 0, 2000, 900);
-			} else {
-				this.update();
-			}
-
-			this.hasBeenUpdated = !this.hasBeenUpdated
-		})
-	}
-
-	update() {
-		CostMap.instance.values.forEach((cost, i) => {
-			const y = Math.floor(i / 20) * 100;
-			const x = (i % 20) * 100;
-
-			let color = Math.floor((cost * 255)).toString(16)
-			if (color.length == 1)
-				color = "0" + color
-
-			this.ctx.fillStyle = '#' + color + color + color;
-			this.ctx.fillRect(x, y, 100, 100)
-		})
-	}
-}

src/logic/evolution.js

@@ -0,0 +1,251 @@
+const ShelfCount = 17 * 6;
+const InRow = 3 * 6;
+
+// index to abstract coordinates
+function i2ac(index) {
+	const y = Math.floor(index / InRow);
+	const x = (index % InRow);
+	if (y === 5 && x >= 6)
+		return [x + 6, y];
+	return [x, y];
+}
+
+function ac2i(x, y) {
+	return y * InRow + x - (y === 5 && x >= 6) * 6;
+}
+
+// index to grid coordinates
+function i2gc(index) {
+	const [x, y] = i2ac(index);
+	return [x + Number(x > 11) + Number(x > 5), y + Math.floor((y + 1) / 2)];
+}
+
+function gc2i(x, y) {
+	x -= Number(x >= 13) + Number(x >= 6);
+	switch (y) {
+		case 0: y = 0; break;
+		case 2: y = 1; break;
+		case 3: y = 2; break;
+		case 5: y = 3; break;
+		case 6: y = 4; break;
+		case 8: y = 5; break;
+	}
+	return ac2i(x, y);
+}
+
+class Arrangement {
+	generateRandom() {
+		this.products = [...Array(ShelfCount).keys()].map(() => Knowledge.semanticNetwork.getRandom().name);
+		this.productsAmount = null;
+		this.similarities = null;
+	}
+
+	constructor(products = []) {
+		this.products = products;
+		this.productsAmount = null;
+		this.similarities = null;
+	}
+
+	clone() {
+		return JSON.parse(JSON.stringify(this.products));
+	}
+
+	simulate() {
+		this.similarities ||= [...Array(ShelfCount)].map(() => 0);
+		this.productsAmount ||= [...Array(ShelfCount)].map(() => 50);
+
+		this.similarity = 0;
+		this.products.forEach((product, i) => {
+			let similarityWithNeighbours = 0;
+			const neighbours = neighboursByIndex(i);
+			for (const neighbour of neighbours) {
+				similarityWithNeighbours += similarity(product, this.products[neighbour]);
+			}
+			similarityWithNeighbours /= neighbours.length;
+			this.similarities[i] = 1 - similarityWithNeighbours;
+			this.similarity += this.similarities[i];
+		});
+
+		this.similarity /= ShelfCount;
+	}
+}
+
+const PopulationSize = 31 * 2;
+const PopulationToKeep = 0.3;
+const MutationRate = 0.2;
+
+class Evolution extends Arrangement {
+	constructor() {
+		super();
+		this.generate();
+		this.setup();
+		this.productIndex = 0;
+		this.productsAmount = [...Array(ShelfCount)].map(() => 0);
+	}
+
+	generate() {
+		this.population = [...Array(PopulationSize)].map(() => {
+			const arr = new Arrangement();
+			arr.generateRandom();
+			return arr;
+		});
+	}
+
+	setup() {
+		this.populationIndex = 0;
+		this.population.forEach(x => x.simulate());
+		this.min_similarity = this.population.reduce((p, c) => Math.min(p, c.similarity || 1), 1);
+		this.max_similarity = this.population.reduce((p, c) => Math.max(p, c.similarity || 0), 0);
+	}
+
+	next(days) {
+		for (let i = 0; i < Number(days) - 1; ++i) {
+			this.step(false);
+		}
+		this.step(true);
+	}
+
+	step(render = true) {
+		// Complete previous day
+		this.products = this.population[this.populationIndex].products;
+    this.simulate();
+		this.productsAmount = [...Array(ShelfCount)].map((_, i) => Math.round(50 * this.similarities[i]));
+		const productsSold = ShelfCount * 50 - this.productsAmount.reduce((p, c) => p + c, 0);
+
+		// Setup new day
+		this.populationIndex++;
+		this.productIndex = 0;
+
+		// Generate new population if needed
+		if (this.populationIndex >= PopulationSize) {
+			/**
+			 * @type{Arrangement[]}
+			 */
+			let newPopulation = [];
+			this.population.sort((a, b) => a.similarity - b.similarity);
+
+			let fitness = this.population.map(({ similarity }) => similarity);
+			let sum = fitness.reduce((p, c) => p + c, 0);
+			fitness = fitness.map(f => Math.pow(f / sum, 2));
+
+			const D = PopulationToKeep * PopulationSize;
+
+			for (let i = 0; i < this.population.length; ++i) {
+				const candidateA = this.population[pick(fitness)];
+				const candidateB = this.population[pick(fitness)];
+				const candidate = crossover(candidateA, candidateB);
+				mutate(candidate);
+				newPopulation.push(candidate);
+			}
+
+			this.population = this.population.slice(0, D).concat(newPopulation).slice(0, PopulationSize);
+			this.setup();
+		}
+
+		if (render) {
+			this.update();
+			console.log(productsSold)
+		}
+	}
+
+	getJobRequest() {
+		if (this.productIndex > ShelfCount)
+			return null;
+
+		for (; this.productIndex < ShelfCount; ++this.productIndex) {
+			const inPopulation = this.population[this.populationIndex];
+			let amount = 50;
+			if (this.products[this.productIndex] === inPopulation.products[this.productIndex]) {
+				if (this.productsAmount[this.productIndex] == 50)
+					continue;
+				amount -= this.productsAmount[this.productIndex];
+			}
+			const [x, y] = i2gc(this.productIndex++);
+			return {
+				product: Knowledge.semanticNetwork.findProductByName(this.population[this.populationIndex].products[this.productIndex]),
+				amount,
+				x, y
+			}
+		}
+  }
+
+	getSimilarity() {
+		try {
+			this.population[this.populationIndex].simulate();
+			return this.population[this.populationIndex].similarity;
+		} catch (e) {
+			return this.similarity;
+		}
+	}
+}
+
+/**
+ *
+ * @param {Arrangement} arr
+ */
+function mutate(arr) {
+	const { floor, random } = Math;
+	for (let i = 0; i < ShelfCount / 6; ++i) {
+		while (random() <= MutationRate) {
+			const a = floor(random() * arr.products.length);
+			const b = floor(random() * arr.products.length);
+
+			if (a !== b) {
+				let t = arr.products[a];
+				arr.products[a] = arr.products[b];
+				arr.products[b] = t;
+			}
+		}
+	}
+}
+/**
+ * @param {Arrangement} ca
+ * @param {Arrangement} cb
+ */
+function crossover(ca, cb) {
+	const child = [];
+	for (let i = 0; i < ca.products.length; ++i)
+		child.push(ca.similarities[i] > cb.similarities[i] ? ca.products[i] : cb.products[i]);
+	return new Arrangement(child);
+}
+
+function neighboursByIndex(index) {
+	const [bx, by] = i2ac(index);
+	const at = (dx, dy) => {
+		const x = bx + dx;
+		const y = by + dy;
+		if (by != y) {
+			if ((by === 1 || by === 3) && (by - y < 0)) return [];
+			if ((by === 2 || by === 4) && (by - y > 0)) return [];
+		}
+		if (x >= 0 && y >= 0) {
+			const index = ac2i(x, y);
+			if (index < ShelfCount)
+				return [index];
+		}
+		return [];
+	};
+
+	return [at(0, -1), at(-1,  0), at(1,  0), at(0,  1)].flat();
+}
+
+
+// given two products, find how similar they are based on categories
+// similiary is defined as euclidian distance
+function similarity(leftProductName, rightProductName) {
+	const lhs = Knowledge.semanticNetwork.findByName(leftProductName);
+	const rhs = Knowledge.semanticNetwork.findByName(rightProductName);
+	console.assert(lhs && rhs);
+
+	const categories = new Set([...lhs.categories, ...rhs.categories]);
+	const d = 1 / categories.size;
+
+	let similarity = 0;
+	for (const category of categories) {
+		similarity += Math.pow(
+			(lhs.categories.indexOf(category) >= 0 ? d : 0) -
+			(rhs.categories.indexOf(category) >= 0 ? d : 0), 2);
+	}
+
+	return Math.sqrt(similarity);
+}

src/logic/time.js

@@ -1,6 +1,6 @@
 class Time {
 
-  isPaused = false;
+  isPaused = true;
   timeMultiplier = 1;
   day = 0;
 
@@ -58,7 +58,13 @@ class Time {
    * Add days
    */
   addDays(days) {
+    Products.instance.next(days);
+    Products.instance.update();
+    const ul = document.querySelector('ul#history');
     this.setDay(this.day += Number(days));
+    const li = document.createElement('li');
+    li.innerHTML = `${this.day}: ${nice(Products.instance.max_similarity)}`;
+    ul.appendChild(li);
   }
 
 }

src/main.js

@@ -10,12 +10,11 @@ window.addEventListener('DOMContentLoaded', async () => {
 	const costMap = new CostMap();
 	const time = new Time();
 	const timeController = new TimeController();
-	const costMapVisualisation = new CostMapVisualisation(costCanvas);
   const floor = new Floor(floorCanvas);
   const grid = new Grid(gridCanvas);
   const agent = new Agent(agentCanvas);
 
-  await Knowladge.loadFromFile('/data/products.tsv')
+  await Knowledge.loadFromFile('/data/products.tsv')
   const products = new Products(productsCanvas);
 
 	const fpsElement = document.getElementById('fps');

src/styles.css

@@ -107,6 +107,8 @@ main {
   height: 100%;
   width: 100%;
   overflow: auto;
+  padding: 10px;
+  box-sizing: border-box;
 }
 
 .logs-content::-webkit-scrollbar {

src/utilities.js

@@ -41,3 +41,13 @@ function Enum(...labels) {
   }
   return e
 }
+
+function pick(array) {
+	let index = 0;
+	for (let r = Math.random(); r >= 0; r -= array[index]) {
+		index++;
+	}
+	return index - 1;
+}
+
+function nice(v) { return  `${(v * 100).toFixed(1)}%` }

src/view/agentController.js

@@ -4,7 +4,7 @@ class AgentController {
     this.ctx = canvas.getContext('2d');
     this.setCanvasSize(canvas);
 
-    this.ownedProduct = Product.REGISTRY.empty;
+    this.ownedProduct = null;
     this.ownedProductAmount = 0;
 
     // Akcje
@@ -242,6 +242,7 @@ class AgentController {
     this.ctx.rotate(-rotation * Math.PI / 180);
 
     // Product
+    if (this.ownedProduct) {
       this.ctx.font = '900 40px "Font Awesome 5 Free"';
       this.ctx.textAlign = 'center';
       this.ctx.fillStyle = 'white'; 
@@ -254,6 +255,7 @@ class AgentController {
         this.ctx.fillStyle = 'white';
         this.ctx.fillText(this.ownedProductAmount, 10, 35);
       }
+    }
 
     this.ctx.translate(-(newX + (w / 2)), -(newY + (h / 2)));
   }

src/view/products.js

@@ -9,38 +9,20 @@ function filterReduce2D(array, reducer, filter, init) {
 	return result;
 }
 
-class Products {
+class Products extends Evolution {
+  /**
+   * @type{Products}
+   */
   static instance
 
   constructor(canvas) {
-    const { random, floor } = Math
+    super();
+    // this.generateRandom();
     
-    this.gridProducts = []
-    this.gridProductsAmount = []
-		this.min = 50;
-
-    for (let i = 0; i < 20; ++i) {
-      const gridProductsColumn = []
-      const gridProductsAmountColumn = []
-
-      for (let j = 0; j < 9; ++j) {
-        if (j % 3 !== 1 && (i+1) % 7 !== 0) {
-          gridProductsColumn.push(Product.RANDOM_FROM_REGISTRY());
-					const amount = floor(random() * 51);
-          gridProductsAmountColumn.push(amount);
-					this.min = this.min > amount ? amount : this.min;
-        } else {
-          gridProductsColumn.push('');
-          gridProductsAmountColumn.push('');
-        }
-      }
-
-      this.gridProducts.push(gridProductsColumn);
-      this.gridProductsAmount.push(gridProductsAmountColumn);
-    }
 
     this.ctx = canvas.getContext('2d');
     this.setCanvasSize(canvas);
+    
     this.update();
 
     Products.instance = this
@@ -51,33 +33,47 @@ class Products {
     canvas.height = 900;
   }
 
-  update(){
+  update() {
+    function write(tag, text) {
+      const qr = document.querySelector(tag);
+      if (qr) {
+        qr.innerHTML = text;
+      }
+    }
+
+    
+
+    write('#similarity', nice(this.getSimilarity()));
+    write('#populationIndex', this.populationIndex + 1);
+    write('#populationSize', PopulationSize);
+    write('#best', nice(this.max_similarity));
+    write('#worst', nice(this.min_similarity));
+
     this.clearCanvas();
     this.drawProducts();
   }
 
-  drawProducts () {
+  drawProducts() {
-		for (let [x, line] of Grid.instance.grid.entries()) {
+    this.min = this.productsAmount?.reduce((p, c) => Math.min(p, c), 50) || 50;
-      for (let [y, type] of line.entries()) {
+    this.products.forEach((product, index) => {
-        if (type === GRID_FIELD_TYPE.SHELF) {
+      let [x, y] = i2gc(index);
-          let v = this.drawValue(x, y);
+      x *= 100; y *= 100;
-          this.product(x * 100, y * 100, v, x, y);
+      const amount = this.productsAmount === null ? 50 : this.productsAmount[index];
-        }
+      this.drawAmount(x, y, amount);
-      }
+      const { icon } = Knowledge.semanticNetwork.findProductByName(product);
-    }
+      this.product(x, y, icon, amount);
+    })
   }
 
-  drawValue(x, y) {
+  drawAmount(x, y, amount) {
     let fontSize = 20;
     this.ctx.font = `${fontSize}px Montserrat`;
     this.ctx.textAlign = "left";
     this.ctx.fillStyle = 'white';
-    let number = this.gridProductsAmount[x][y];
+    this.ctx.fillText(amount, x + 10, y + 90);
-    this.ctx.fillText(number, (x * 100) + 10, (y * 100) + 90);
-    return number;
   }
 
-  product(x, y, v, productsKey, productsValue) {
+  product(x, y, icon, amount) {
     let fontSize = 40;
     this.ctx.font = `900 ${fontSize}px "Font Awesome 5 Free"`;
     this.ctx.textAlign = "center";
@@ -86,17 +82,15 @@ class Products {
     //   white - full shelf
     //   red   - empty shelf
     const t = Math.cbrt
-		v = (v - this.min) / (50 - this.min);
+		const v = (amount - this.min) / (50 - this.min);
     let color = Math.floor(t(v) * 255).toString(16)
     if (color.length == 1)
       color = "0" + color
     this.ctx.fillStyle = `#ff${color}${color}`;
 
-    let productsColumn = this.gridProducts[productsKey];
-    let prdct = productsColumn[productsValue];
     this.ctx.font = '900 40px "Font Awesome 5 Free"';
     this.ctx.textAlign = 'center';
-    this.ctx.fillText(prdct.icon, x+50, y+60);
+    this.ctx.fillText(icon, x + 50, y + 60);
   }
 
   clearCanvas() {
@@ -142,13 +136,13 @@ class Products {
    * @returns {{product: Product; amount: number} | null } Old shelf content
    */
   exchange(x, y, incomingProduct, incomingAmount) {
-    const product = this.gridProducts[x][y];
+    const index = gc2i(x, y);
-    const amount = this.gridProductsAmount[x][y];
+    const product = this.products[index];
-    this.gridProducts[x][y] = incomingProduct;
+    const amount = this.productsAmount[index];
-    this.gridProductsAmount[x][y] = incomingAmount;
+    this.products[index] = incomingProduct.name;
+    this.productsAmount[index] = incomingAmount;
 
-		this.min = filterReduce2D(this.gridProductsAmount, (p, c) => Math.min(p, c),
+		this.min = this.productsAmount?.reduce((p, c) => Math.min(p, c), 50) || 50;
-			x => typeof x === 'number', 50);
 
     this.clearCanvas();
     this.drawProducts();
@@ -170,13 +164,6 @@ class Products {
     return this.exchange(x, y, incomingProduct, incomingAmount)
   }
 
-  getJobRequest() {
-    const maybeProduct = this.filter((_product, amount, _i, _j, end) => amount < 50).sort((a, b) => {
-			return a.amount - b.amount
-		})
-    return maybeProduct.length === 0 ? null : maybeProduct[0]
-  }
-
   findAvailableLocationsFor(product) {
     return this.filter((p, amount) => product.equals(p) && amount < 50)
   }

src/view/visualisation.js

@@ -0,0 +1,53 @@
+class Visualisation {
+	static instance
+
+	constructor(canvas) {
+		this.canvas = canvas
+		this.ctx = canvas.getContext('2d');
+		canvas.width = 2000
+		canvas.height = 900
+
+		Visualisation.instance = this
+
+		document.addEventListener('keydown', ({ key }) => {
+			const keys = {
+				c: () => this.drawCostMap(),
+				p: () => this.drawSimilarities(),
+			};
+
+			this.ctx.clearRect(0, 0, 2000, 900);
+			if (this.lastkey != key) {
+				for (const k in keys)
+					if (k == key) {
+						keys[k]();
+						this.lastkey = key;
+					}
+			} else 
+				this.lastkey = null;
+		})
+	}
+
+	drawSimilarities() {
+		Products.instance.similarities.map((similarity, index) => {
+			const [x, y] = i2gc(index);
+
+			let color = Math.floor(similarity * 120);
+			this.ctx.fillStyle = `hsl(${color}, 100%, 50%)`;
+			this.ctx.fillRect(x * 100, y * 100, 100, 100)
+		})
+	}
+
+	drawCostMap() {
+		CostMap.instance.values.forEach((cost, i) => {
+			const y = Math.floor(i / 20) * 100;
+			const x = (i % 20) * 100;
+
+			let color = Math.floor((cost * 255)).toString(16)
+			if (color.length == 1)
+				color = "0" + color
+
+			this.ctx.fillStyle = '#' + color + color + color;
+			this.ctx.fillRect(x, y, 100, 100)
+		})
+	}
+}