diff --git a/js/genetic-0.1.14.js b/js/genetic-0.1.15.js
similarity index 87%
rename from js/genetic-0.1.14.js
rename to js/genetic-0.1.15.js
index b40a230..054b536 100644
--- a/js/genetic-0.1.14.js
+++ b/js/genetic-0.1.15.js
@@ -5,9 +5,9 @@ window.Genetic = require('./genetic');
 },{"./genetic":2}],2:[function(require,module,exports){
 
 var Genetic = Genetic || (function(){
-	
+
 	'use strict';
-	
+
 	// facilitates communcation between web workers
 	var Serialization = {
 		"stringify": function (obj) {
@@ -25,19 +25,19 @@ var Genetic = Genetic || (function(){
 			});
 		}
 	};
-	
+
 	var Clone = function(obj) {
 		if (obj == null || typeof obj != "object")
 			return obj;
-		
+
 		return JSON.parse(JSON.stringify(obj));
 	};
-	
+
 	var Optimize = {
 		"Maximize": function (a, b) { return a >= b; }
 		, "Minimize": function (a, b) { return a < b; }
 	};
-	
+
 	var Select1 = {
 		"Tournament2": function(pop) {
 			var n = pop.length;
@@ -64,7 +64,7 @@ var Genetic = Genetic || (function(){
 			return pop[(this.internalGenState["seq"]++)%pop.length].entity;
 		}
 	};
-	
+
 	var Select2 = {
 		"Tournament2": function(pop) {
 			return [Select1.Tournament2.call(this, pop), Select1.Tournament2.call(this, pop)];
@@ -80,9 +80,9 @@ var Genetic = Genetic || (function(){
 			return [Select1.Fittest.call(this, pop), Select1.Random.call(this, pop)];
 		}
 	};
-	
+
 	function Genetic() {
-		
+
 		// population
 		this.fitness = null;
 		this.seed = null;
@@ -93,7 +93,7 @@ var Genetic = Genetic || (function(){
 		this.optimize = null;
 		this.generation = null;
 		this.notification = null;
-		
+
 		this.configuration = {
 			"size": 250
 			, "crossover": 0.9
@@ -104,33 +104,33 @@ var Genetic = Genetic || (function(){
 			, "webWorkers": true
 			, "skip": 0
 		};
-		
+
 		this.userData = {};
 		this.internalGenState = {};
-		
+
 		this.entities = [];
-		
+
 		this.usingWebWorker = false;
-		
+
 		this.start = function() {
-			
+
 			var i;
 			var self = this;
-			
+
 			function mutateOrNot(entity) {
 				// applies mutation based on mutation probability
 				return Math.random() <= self.configuration.mutation && self.mutate ? self.mutate(Clone(entity)) : entity;
 			}
-			
+
 			// seed the population
 			for (i=0;i<this.configuration.size;++i)  {
 				this.entities.push(Clone(this.seed()));
 			}
-			
+
 			for (i=0;i<this.configuration.iterations;++i) {
 				// reset for each generation
 				this.internalGenState = {};
-				
+
 				// score and sort
 				var pop = this.entities
 					.map(function (entity) {
@@ -139,13 +139,13 @@ var Genetic = Genetic || (function(){
 					.sort(function (a, b) {
 						return self.optimize(a.fitness, b.fitness) ? -1 : 1;
 					});
-				
+
 				// generation notification
 				var mean = pop.reduce(function (a, b) { return a + b.fitness; }, 0)/pop.length;
 				var stdev = Math.sqrt(pop
 					.map(function (a) { return (a.fitness - mean) * (a.fitness - mean); })
 					.reduce(function (a, b) { return a+b; }, 0)/pop.length);
-					
+
 				var stats = {
 					"maximum": pop[0].fitness
 					, "minimum": pop[pop.length-1].fitness
@@ -155,23 +155,23 @@ var Genetic = Genetic || (function(){
 
 				var r = this.generation ? this.generation(pop, i, stats) : true;
 				var isFinished = (typeof r != "undefined" && !r) || (i == this.configuration.iterations-1);
-				
+
 				if (
 					this.notification
 					&& (isFinished || this.configuration["skip"] == 0 || i%this.configuration["skip"] == 0)
 				) {
 					this.sendNotification(pop.slice(0, this.maxResults), i, stats, isFinished);
 				}
-					
+
 				if (isFinished)
 					break;
-				
+
 				// crossover and mutate
 				var newPop = [];
-				
+
 				if (this.configuration.fittestAlwaysSurvives) // lets the best solution fall through
 					newPop.push(pop[0].entity);
-				
+
 				while (newPop.length < self.configuration.size) {
 					if (
 						this.crossover // if there is a crossover function
@@ -185,69 +185,71 @@ var Genetic = Genetic || (function(){
 						newPop.push(mutateOrNot(self.select1(pop)));
 					}
 				}
-				
+
 				this.entities = newPop;
 			}
 		}
-		
+
 		this.sendNotification = function(pop, generation, stats, isFinished) {
+			var self = this;
+
 			var response = {
 				"pop": pop.map(Serialization.stringify)
 				, "generation": generation
 				, "stats": stats
 				, "isFinished": isFinished
 			};
-			
-			
+
+
 			if (this.usingWebWorker) {
 				postMessage(response);
 			} else {
 				// self declared outside of scope
 				self.notification(response.pop.map(Serialization.parse), response.generation, response.stats, response.isFinished);
 			}
-			
+
 		};
 	}
-	
+
 	Genetic.prototype.evolve = function(config, userData) {
-		
+
 		var k;
 		for (k in config) {
 			this.configuration[k] = config[k];
 		}
-		
+
 		for (k in userData) {
 			this.userData[k] = userData[k];
 		}
-		
+
 		// determine if we can use webworkers
 		this.usingWebWorker = this.configuration.webWorkers
 			&& typeof Blob != "undefined"
 			&& typeof Worker != "undefined"
 			&& typeof window.URL != "undefined"
 			&& typeof window.URL.createObjectURL != "undefined";
-		
+
 		function addslashes(str) {
 			return str.replace(/[\\"']/g, '\\$&').replace(/\u0000/g, '\\0');
 		}
-			
-		// bootstrap webworker script
-		var blobScript = "'use strict'\n";
-		blobScript += "var Serialization = {'stringify': " + Serialization.stringify.toString() + ", 'parse': " + Serialization.parse.toString() + "};\n";
-		blobScript += "var Clone = " + Clone.toString() + ";\n";
-		
-		// make available in webworker
-		blobScript += "var Optimize = Serialization.parse(\"" + addslashes(Serialization.stringify(Optimize)) + "\");\n";
-		blobScript += "var Select1 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select1)) + "\");\n";
-		blobScript += "var Select2 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select2)) + "\");\n";
-		
-		// materialize our ga instance in the worker
-		blobScript += "var genetic = Serialization.parse(\"" + addslashes(Serialization.stringify(this)) + "\");\n";
-		blobScript += "onmessage = function(e) { genetic.start(); }\n";
-		
+
 		var self = this;
-		
+
 		if (this.usingWebWorker) {
+			// bootstrap webworker script
+			var blobScript = "'use strict'\n";
+			blobScript += "var Serialization = {'stringify': " + Serialization.stringify.toString() + ", 'parse': " + Serialization.parse.toString() + "};\n";
+			blobScript += "var Clone = " + Clone.toString() + ";\n";
+
+			// make available in webworker
+			blobScript += "var Optimize = Serialization.parse(\"" + addslashes(Serialization.stringify(Optimize)) + "\");\n";
+			blobScript += "var Select1 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select1)) + "\");\n";
+			blobScript += "var Select2 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select2)) + "\");\n";
+
+			// materialize our ga instance in the worker
+			blobScript += "var genetic = Serialization.parse(\"" + addslashes(Serialization.stringify(this)) + "\");\n";
+			blobScript += "onmessage = function(e) { genetic.start(); }\n";
+
 			// webworker
 			var blob = new Blob([blobScript]);
 			var worker = new Worker(window.URL.createObjectURL(blob));
@@ -260,15 +262,11 @@ var Genetic = Genetic || (function(){
 			};
 			worker.postMessage("");
 		} else {
-			// simulate webworker
-			(function(){
-				var onmessage;
-				eval(blobScript);
-				onmessage(null);
-			})();
+			// run process without webworker
+			self.start();
 		}
 	}
-	
+
 	return {
 		"create": function() {
 			return new Genetic();
@@ -277,7 +275,7 @@ var Genetic = Genetic || (function(){
 		, "Optimize": Optimize
 		, "Clone": Clone
 	};
-	
+
 })();
 
 
diff --git a/js/genetic-0.1.14.min.js b/js/genetic-0.1.15.min.js
similarity index 69%
rename from js/genetic-0.1.14.min.js
rename to js/genetic-0.1.15.min.js
index adec35c..24a2de5 100644
--- a/js/genetic-0.1.14.min.js
+++ b/js/genetic-0.1.15.min.js
@@ -1 +1 @@
-(function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){window.Genetic=require("./genetic")},{"./genetic":2}],2:[function(require,module,exports){var Genetic=Genetic||function(){"use strict";var Serialization={stringify:function(obj){return JSON.stringify(obj,function(key,value){if(value instanceof Function||typeof value=="function")return"__func__:"+value.toString();if(value instanceof RegExp)return"__regex__:"+value;return value})},parse:function(str){return JSON.parse(str,function(key,value){if(typeof value!="string")return value;if(value.lastIndexOf("__func__:",0)===0)return eval("("+value.slice(9)+")");if(value.lastIndexOf("__regex__:",0)===0)return eval("("+value.slice(10)+")");return value})}};var Clone=function(obj){if(obj==null||typeof obj!="object")return obj;return JSON.parse(JSON.stringify(obj))};var Optimize={Maximize:function(a,b){return a>=b},Minimize:function(a,b){return a<b}};var Select1={Tournament2:function(pop){var n=pop.length;var a=pop[Math.floor(Math.random()*n)];var b=pop[Math.floor(Math.random()*n)];return this.optimize(a.fitness,b.fitness)?a.entity:b.entity},Tournament3:function(pop){var n=pop.length;var a=pop[Math.floor(Math.random()*n)];var b=pop[Math.floor(Math.random()*n)];var c=pop[Math.floor(Math.random()*n)];var best=this.optimize(a.fitness,b.fitness)?a:b;best=this.optimize(best.fitness,c.fitness)?best:c;return best.entity},Fittest:function(pop){return pop[0].entity},Random:function(pop){return pop[Math.floor(Math.random()*pop.length)].entity},RandomLinearRank:function(pop){this.internalGenState["rlr"]=this.internalGenState["rlr"]||0;return pop[Math.floor(Math.random()*Math.min(pop.length,this.internalGenState["rlr"]++))].entity},Sequential:function(pop){this.internalGenState["seq"]=this.internalGenState["seq"]||0;return pop[this.internalGenState["seq"]++%pop.length].entity}};var Select2={Tournament2:function(pop){return[Select1.Tournament2.call(this,pop),Select1.Tournament2.call(this,pop)]},Tournament3:function(pop){return[Select1.Tournament3.call(this,pop),Select1.Tournament3.call(this,pop)]},Random:function(pop){return[Select1.Random.call(this,pop),Select1.Random.call(this,pop)]},RandomLinearRank:function(pop){return[Select1.RandomLinearRank.call(this,pop),Select1.RandomLinearRank.call(this,pop)]},Sequential:function(pop){return[Select1.Sequential.call(this,pop),Select1.Sequential.call(this,pop)]},FittestRandom:function(pop){return[Select1.Fittest.call(this,pop),Select1.Random.call(this,pop)]}};function Genetic(){this.fitness=null;this.seed=null;this.mutate=null;this.crossover=null;this.select1=null;this.select2=null;this.optimize=null;this.generation=null;this.notification=null;this.configuration={size:250,crossover:.9,mutation:.2,iterations:100,fittestAlwaysSurvives:true,maxResults:100,webWorkers:true,skip:0};this.userData={};this.internalGenState={};this.entities=[];this.usingWebWorker=false;this.start=function(){var i;var self=this;function mutateOrNot(entity){return Math.random()<=self.configuration.mutation&&self.mutate?self.mutate(Clone(entity)):entity}for(i=0;i<this.configuration.size;++i){this.entities.push(Clone(this.seed()))}for(i=0;i<this.configuration.iterations;++i){this.internalGenState={};var pop=this.entities.map(function(entity){return{fitness:self.fitness(entity),entity:entity}}).sort(function(a,b){return self.optimize(a.fitness,b.fitness)?-1:1});var mean=pop.reduce(function(a,b){return a+b.fitness},0)/pop.length;var stdev=Math.sqrt(pop.map(function(a){return(a.fitness-mean)*(a.fitness-mean)}).reduce(function(a,b){return a+b},0)/pop.length);var stats={maximum:pop[0].fitness,minimum:pop[pop.length-1].fitness,mean:mean,stdev:stdev};var r=this.generation?this.generation(pop,i,stats):true;var isFinished=typeof r!="undefined"&&!r||i==this.configuration.iterations-1;if(this.notification&&(isFinished||this.configuration["skip"]==0||i%this.configuration["skip"]==0)){this.sendNotification(pop.slice(0,this.maxResults),i,stats,isFinished)}if(isFinished)break;var newPop=[];if(this.configuration.fittestAlwaysSurvives)newPop.push(pop[0].entity);while(newPop.length<self.configuration.size){if(this.crossover&&Math.random()<=this.configuration.crossover&&newPop.length+1<self.configuration.size){var parents=this.select2(pop);var children=this.crossover(Clone(parents[0]),Clone(parents[1])).map(mutateOrNot);newPop.push(children[0],children[1])}else{newPop.push(mutateOrNot(self.select1(pop)))}}this.entities=newPop}};this.sendNotification=function(pop,generation,stats,isFinished){var response={pop:pop.map(Serialization.stringify),generation:generation,stats:stats,isFinished:isFinished};if(this.usingWebWorker){postMessage(response)}else{self.notification(response.pop.map(Serialization.parse),response.generation,response.stats,response.isFinished)}}}Genetic.prototype.evolve=function(config,userData){var k;for(k in config){this.configuration[k]=config[k]}for(k in userData){this.userData[k]=userData[k]}this.usingWebWorker=this.configuration.webWorkers&&typeof Blob!="undefined"&&typeof Worker!="undefined"&&typeof window.URL!="undefined"&&typeof window.URL.createObjectURL!="undefined";function addslashes(str){return str.replace(/[\\"']/g,"\\$&").replace(/\u0000/g,"\\0")}var blobScript="'use strict'\n";blobScript+="var Serialization = {'stringify': "+Serialization.stringify.toString()+", 'parse': "+Serialization.parse.toString()+"};\n";blobScript+="var Clone = "+Clone.toString()+";\n";blobScript+='var Optimize = Serialization.parse("'+addslashes(Serialization.stringify(Optimize))+'");\n';blobScript+='var Select1 = Serialization.parse("'+addslashes(Serialization.stringify(Select1))+'");\n';blobScript+='var Select2 = Serialization.parse("'+addslashes(Serialization.stringify(Select2))+'");\n';blobScript+='var genetic = Serialization.parse("'+addslashes(Serialization.stringify(this))+'");\n';blobScript+="onmessage = function(e) { genetic.start(); }\n";var self=this;if(this.usingWebWorker){var blob=new Blob([blobScript]);var worker=new Worker(window.URL.createObjectURL(blob));worker.onmessage=function(e){var response=e.data;self.notification(response.pop.map(Serialization.parse),response.generation,response.stats,response.isFinished)};worker.onerror=function(e){alert("ERROR: Line "+e.lineno+" in "+e.filename+": "+e.message)};worker.postMessage("")}else{(function(){var onmessage;eval(blobScript);onmessage(null)})()}};return{create:function(){return new Genetic},Select1:Select1,Select2:Select2,Optimize:Optimize,Clone:Clone}}();if(typeof module!="undefined"){module.exports=Genetic}},{}]},{},[1]);
\ No newline at end of file
+(function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s})({1:[function(require,module,exports){window.Genetic=require("./genetic")},{"./genetic":2}],2:[function(require,module,exports){var Genetic=Genetic||function(){"use strict";var Serialization={stringify:function(obj){return JSON.stringify(obj,function(key,value){if(value instanceof Function||typeof value=="function")return"__func__:"+value.toString();if(value instanceof RegExp)return"__regex__:"+value;return value})},parse:function(str){return JSON.parse(str,function(key,value){if(typeof value!="string")return value;if(value.lastIndexOf("__func__:",0)===0)return eval("("+value.slice(9)+")");if(value.lastIndexOf("__regex__:",0)===0)return eval("("+value.slice(10)+")");return value})}};var Clone=function(obj){if(obj==null||typeof obj!="object")return obj;return JSON.parse(JSON.stringify(obj))};var Optimize={Maximize:function(a,b){return a>=b},Minimize:function(a,b){return a<b}};var Select1={Tournament2:function(pop){var n=pop.length;var a=pop[Math.floor(Math.random()*n)];var b=pop[Math.floor(Math.random()*n)];return this.optimize(a.fitness,b.fitness)?a.entity:b.entity},Tournament3:function(pop){var n=pop.length;var a=pop[Math.floor(Math.random()*n)];var b=pop[Math.floor(Math.random()*n)];var c=pop[Math.floor(Math.random()*n)];var best=this.optimize(a.fitness,b.fitness)?a:b;best=this.optimize(best.fitness,c.fitness)?best:c;return best.entity},Fittest:function(pop){return pop[0].entity},Random:function(pop){return pop[Math.floor(Math.random()*pop.length)].entity},RandomLinearRank:function(pop){this.internalGenState["rlr"]=this.internalGenState["rlr"]||0;return pop[Math.floor(Math.random()*Math.min(pop.length,this.internalGenState["rlr"]++))].entity},Sequential:function(pop){this.internalGenState["seq"]=this.internalGenState["seq"]||0;return pop[this.internalGenState["seq"]++%pop.length].entity}};var Select2={Tournament2:function(pop){return[Select1.Tournament2.call(this,pop),Select1.Tournament2.call(this,pop)]},Tournament3:function(pop){return[Select1.Tournament3.call(this,pop),Select1.Tournament3.call(this,pop)]},Random:function(pop){return[Select1.Random.call(this,pop),Select1.Random.call(this,pop)]},RandomLinearRank:function(pop){return[Select1.RandomLinearRank.call(this,pop),Select1.RandomLinearRank.call(this,pop)]},Sequential:function(pop){return[Select1.Sequential.call(this,pop),Select1.Sequential.call(this,pop)]},FittestRandom:function(pop){return[Select1.Fittest.call(this,pop),Select1.Random.call(this,pop)]}};function Genetic(){this.fitness=null;this.seed=null;this.mutate=null;this.crossover=null;this.select1=null;this.select2=null;this.optimize=null;this.generation=null;this.notification=null;this.configuration={size:250,crossover:.9,mutation:.2,iterations:100,fittestAlwaysSurvives:true,maxResults:100,webWorkers:true,skip:0};this.userData={};this.internalGenState={};this.entities=[];this.usingWebWorker=false;this.start=function(){var i;var self=this;function mutateOrNot(entity){return Math.random()<=self.configuration.mutation&&self.mutate?self.mutate(Clone(entity)):entity}for(i=0;i<this.configuration.size;++i){this.entities.push(Clone(this.seed()))}for(i=0;i<this.configuration.iterations;++i){this.internalGenState={};var pop=this.entities.map(function(entity){return{fitness:self.fitness(entity),entity:entity}}).sort(function(a,b){return self.optimize(a.fitness,b.fitness)?-1:1});var mean=pop.reduce(function(a,b){return a+b.fitness},0)/pop.length;var stdev=Math.sqrt(pop.map(function(a){return(a.fitness-mean)*(a.fitness-mean)}).reduce(function(a,b){return a+b},0)/pop.length);var stats={maximum:pop[0].fitness,minimum:pop[pop.length-1].fitness,mean:mean,stdev:stdev};var r=this.generation?this.generation(pop,i,stats):true;var isFinished=typeof r!="undefined"&&!r||i==this.configuration.iterations-1;if(this.notification&&(isFinished||this.configuration["skip"]==0||i%this.configuration["skip"]==0)){this.sendNotification(pop.slice(0,this.maxResults),i,stats,isFinished)}if(isFinished)break;var newPop=[];if(this.configuration.fittestAlwaysSurvives)newPop.push(pop[0].entity);while(newPop.length<self.configuration.size){if(this.crossover&&Math.random()<=this.configuration.crossover&&newPop.length+1<self.configuration.size){var parents=this.select2(pop);var children=this.crossover(Clone(parents[0]),Clone(parents[1])).map(mutateOrNot);newPop.push(children[0],children[1])}else{newPop.push(mutateOrNot(self.select1(pop)))}}this.entities=newPop}};this.sendNotification=function(pop,generation,stats,isFinished){var self=this;var response={pop:pop.map(Serialization.stringify),generation:generation,stats:stats,isFinished:isFinished};if(this.usingWebWorker){postMessage(response)}else{self.notification(response.pop.map(Serialization.parse),response.generation,response.stats,response.isFinished)}}}Genetic.prototype.evolve=function(config,userData){var k;for(k in config){this.configuration[k]=config[k]}for(k in userData){this.userData[k]=userData[k]}this.usingWebWorker=this.configuration.webWorkers&&typeof Blob!="undefined"&&typeof Worker!="undefined"&&typeof window.URL!="undefined"&&typeof window.URL.createObjectURL!="undefined";function addslashes(str){return str.replace(/[\\"']/g,"\\$&").replace(/\u0000/g,"\\0")}var self=this;if(this.usingWebWorker){var blobScript="'use strict'\n";blobScript+="var Serialization = {'stringify': "+Serialization.stringify.toString()+", 'parse': "+Serialization.parse.toString()+"};\n";blobScript+="var Clone = "+Clone.toString()+";\n";blobScript+='var Optimize = Serialization.parse("'+addslashes(Serialization.stringify(Optimize))+'");\n';blobScript+='var Select1 = Serialization.parse("'+addslashes(Serialization.stringify(Select1))+'");\n';blobScript+='var Select2 = Serialization.parse("'+addslashes(Serialization.stringify(Select2))+'");\n';blobScript+='var genetic = Serialization.parse("'+addslashes(Serialization.stringify(this))+'");\n';blobScript+="onmessage = function(e) { genetic.start(); }\n";var blob=new Blob([blobScript]);var worker=new Worker(window.URL.createObjectURL(blob));worker.onmessage=function(e){var response=e.data;self.notification(response.pop.map(Serialization.parse),response.generation,response.stats,response.isFinished)};worker.onerror=function(e){alert("ERROR: Line "+e.lineno+" in "+e.filename+": "+e.message)};worker.postMessage("")}else{self.start()}};return{create:function(){return new Genetic},Select1:Select1,Select2:Select2,Optimize:Optimize,Clone:Clone}}();if(typeof module!="undefined"){module.exports=Genetic}},{}]},{},[1]);
diff --git a/lib/genetic.js b/lib/genetic.js
index 7564024..da93a9e 100644
--- a/lib/genetic.js
+++ b/lib/genetic.js
@@ -1,8 +1,8 @@
 
 var Genetic = Genetic || (function(){
-	
+
 	'use strict';
-	
+
 	// facilitates communcation between web workers
 	var Serialization = {
 		"stringify": function (obj) {
@@ -20,19 +20,19 @@ var Genetic = Genetic || (function(){
 			});
 		}
 	};
-	
+
 	var Clone = function(obj) {
 		if (obj == null || typeof obj != "object")
 			return obj;
-		
+
 		return JSON.parse(JSON.stringify(obj));
 	};
-	
+
 	var Optimize = {
 		"Maximize": function (a, b) { return a >= b; }
 		, "Minimize": function (a, b) { return a < b; }
 	};
-	
+
 	var Select1 = {
 		"Tournament2": function(pop) {
 			var n = pop.length;
@@ -59,7 +59,7 @@ var Genetic = Genetic || (function(){
 			return pop[(this.internalGenState["seq"]++)%pop.length].entity;
 		}
 	};
-	
+
 	var Select2 = {
 		"Tournament2": function(pop) {
 			return [Select1.Tournament2.call(this, pop), Select1.Tournament2.call(this, pop)];
@@ -75,9 +75,9 @@ var Genetic = Genetic || (function(){
 			return [Select1.Fittest.call(this, pop), Select1.Random.call(this, pop)];
 		}
 	};
-	
+
 	function Genetic() {
-		
+
 		// population
 		this.fitness = null;
 		this.seed = null;
@@ -88,7 +88,7 @@ var Genetic = Genetic || (function(){
 		this.optimize = null;
 		this.generation = null;
 		this.notification = null;
-		
+
 		this.configuration = {
 			"size": 250
 			, "crossover": 0.9
@@ -99,33 +99,33 @@ var Genetic = Genetic || (function(){
 			, "webWorkers": true
 			, "skip": 0
 		};
-		
+
 		this.userData = {};
 		this.internalGenState = {};
-		
+
 		this.entities = [];
-		
+
 		this.usingWebWorker = false;
-		
+
 		this.start = function() {
-			
+
 			var i;
 			var self = this;
-			
+
 			function mutateOrNot(entity) {
 				// applies mutation based on mutation probability
 				return Math.random() <= self.configuration.mutation && self.mutate ? self.mutate(Clone(entity)) : entity;
 			}
-			
+
 			// seed the population
 			for (i=0;i<this.configuration.size;++i)  {
 				this.entities.push(Clone(this.seed()));
 			}
-			
+
 			for (i=0;i<this.configuration.iterations;++i) {
 				// reset for each generation
 				this.internalGenState = {};
-				
+
 				// score and sort
 				var pop = this.entities
 					.map(function (entity) {
@@ -134,13 +134,13 @@ var Genetic = Genetic || (function(){
 					.sort(function (a, b) {
 						return self.optimize(a.fitness, b.fitness) ? -1 : 1;
 					});
-				
+
 				// generation notification
 				var mean = pop.reduce(function (a, b) { return a + b.fitness; }, 0)/pop.length;
 				var stdev = Math.sqrt(pop
 					.map(function (a) { return (a.fitness - mean) * (a.fitness - mean); })
 					.reduce(function (a, b) { return a+b; }, 0)/pop.length);
-					
+
 				var stats = {
 					"maximum": pop[0].fitness
 					, "minimum": pop[pop.length-1].fitness
@@ -150,23 +150,23 @@ var Genetic = Genetic || (function(){
 
 				var r = this.generation ? this.generation(pop, i, stats) : true;
 				var isFinished = (typeof r != "undefined" && !r) || (i == this.configuration.iterations-1);
-				
+
 				if (
 					this.notification
 					&& (isFinished || this.configuration["skip"] == 0 || i%this.configuration["skip"] == 0)
 				) {
 					this.sendNotification(pop.slice(0, this.maxResults), i, stats, isFinished);
 				}
-					
+
 				if (isFinished)
 					break;
-				
+
 				// crossover and mutate
 				var newPop = [];
-				
+
 				if (this.configuration.fittestAlwaysSurvives) // lets the best solution fall through
 					newPop.push(pop[0].entity);
-				
+
 				while (newPop.length < self.configuration.size) {
 					if (
 						this.crossover // if there is a crossover function
@@ -180,69 +180,71 @@ var Genetic = Genetic || (function(){
 						newPop.push(mutateOrNot(self.select1(pop)));
 					}
 				}
-				
+
 				this.entities = newPop;
 			}
 		}
-		
+
 		this.sendNotification = function(pop, generation, stats, isFinished) {
+			var self = this;
+
 			var response = {
 				"pop": pop.map(Serialization.stringify)
 				, "generation": generation
 				, "stats": stats
 				, "isFinished": isFinished
 			};
-			
-			
+
+
 			if (this.usingWebWorker) {
 				postMessage(response);
 			} else {
 				// self declared outside of scope
 				self.notification(response.pop.map(Serialization.parse), response.generation, response.stats, response.isFinished);
 			}
-			
+
 		};
 	}
-	
+
 	Genetic.prototype.evolve = function(config, userData) {
-		
+
 		var k;
 		for (k in config) {
 			this.configuration[k] = config[k];
 		}
-		
+
 		for (k in userData) {
 			this.userData[k] = userData[k];
 		}
-		
+
 		// determine if we can use webworkers
 		this.usingWebWorker = this.configuration.webWorkers
 			&& typeof Blob != "undefined"
 			&& typeof Worker != "undefined"
 			&& typeof window.URL != "undefined"
 			&& typeof window.URL.createObjectURL != "undefined";
-		
+
 		function addslashes(str) {
 			return str.replace(/[\\"']/g, '\\$&').replace(/\u0000/g, '\\0');
 		}
-			
-		// bootstrap webworker script
-		var blobScript = "'use strict'\n";
-		blobScript += "var Serialization = {'stringify': " + Serialization.stringify.toString() + ", 'parse': " + Serialization.parse.toString() + "};\n";
-		blobScript += "var Clone = " + Clone.toString() + ";\n";
-		
-		// make available in webworker
-		blobScript += "var Optimize = Serialization.parse(\"" + addslashes(Serialization.stringify(Optimize)) + "\");\n";
-		blobScript += "var Select1 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select1)) + "\");\n";
-		blobScript += "var Select2 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select2)) + "\");\n";
-		
-		// materialize our ga instance in the worker
-		blobScript += "var genetic = Serialization.parse(\"" + addslashes(Serialization.stringify(this)) + "\");\n";
-		blobScript += "onmessage = function(e) { genetic.start(); }\n";
-		
+
 		var self = this;
-		
+
 		if (this.usingWebWorker) {
+			// bootstrap webworker script
+			var blobScript = "'use strict'\n";
+			blobScript += "var Serialization = {'stringify': " + Serialization.stringify.toString() + ", 'parse': " + Serialization.parse.toString() + "};\n";
+			blobScript += "var Clone = " + Clone.toString() + ";\n";
+
+			// make available in webworker
+			blobScript += "var Optimize = Serialization.parse(\"" + addslashes(Serialization.stringify(Optimize)) + "\");\n";
+			blobScript += "var Select1 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select1)) + "\");\n";
+			blobScript += "var Select2 = Serialization.parse(\"" + addslashes(Serialization.stringify(Select2)) + "\");\n";
+
+			// materialize our ga instance in the worker
+			blobScript += "var genetic = Serialization.parse(\"" + addslashes(Serialization.stringify(this)) + "\");\n";
+			blobScript += "onmessage = function(e) { genetic.start(); }\n";
+
 			// webworker
 			var blob = new Blob([blobScript]);
 			var worker = new Worker(window.URL.createObjectURL(blob));
@@ -255,15 +257,11 @@ var Genetic = Genetic || (function(){
 			};
 			worker.postMessage("");
 		} else {
-			// simulate webworker
-			(function(){
-				var onmessage;
-				eval(blobScript);
-				onmessage(null);
-			})();
+			// run process without webworker
+			self.start();
 		}
 	}
-	
+
 	return {
 		"create": function() {
 			return new Genetic();
@@ -272,7 +270,7 @@ var Genetic = Genetic || (function(){
 		, "Optimize": Optimize
 		, "Clone": Clone
 	};
-	
+
 })();
 
 
diff --git a/package.json b/package.json
index a9b8a79..50221bc 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "genetic-js",
-  "version": "0.1.14",
+  "version": "0.1.15",
   "description": "Advanced genetic and evolutionary algorithm library",
   "main": "lib/genetic.js",
   "scripts": {