Dungeon Log #1 – BSP Dungeon

Welcome to the first dungeon log progress update. Tasks for this week For this week I had one main task, to explore binary space partitioning and to create objects on the Unity hierarchy. I started off the week by looking into primitive shapes so I could get started with putting my generated dungeons onto the […]

Natural Computing Review

In this blog, I will be reviewing on how I thought the Natural Computing course that I had taken at Goldsmiths University was. I will be reflecting on the topics it covered, how they were covered and what I had learned over the duration of the course. The Topics Here are the following topics, concepts […]

Ant Colony Optimisation – An Explanation

In this blog, I will be explaining how the technique Ant Colony Optimisation works and where this can and has been applied. What is Ant Colony Optimisation? Ant Colony Optimisation (ACO) is a method that attempts to simulate how ants behave when deciding on the optimal path. This method is typically used on networking solutions, […]

An Implementation of Genetic Algorithms

In this post I will be showing you my implementation of a problem that uses genetic algorithms as the solution. This task was created for my Natural Computing Lab on 01/12/2016. Links and Downloads If you would like to find out more about genetic algorithms, I have made a previous post about this. Please follow […]

Weekly Round Up – 06/11/2016

Bonjour! Comment ça va? Ça va bien, merci! Le Français est amusement! Just thought that I’d start this round up with a little bit of French. I have been spending the past four days trying to get back into it on Duolingo. The last time I actually used the language properly was back in school […]

An Application for Stochastic Diffusion Search

Google Images - Search by Image

Following from my post last week, I’ll be talking about an example application for Stochastic Diffusion Search, otherwise known as SDS. I believe that this can be used in many different ways, but I will explain how I think it could be implemented in a search by image algorithm. If you do not know how […]

SDS – An Explanation

What is SDS? Stochastic Diffusion Search (SDS) is a search algorithm that using swarm intelligence to achieve its outcome. The algorithm contains agents, that each have a hypothesis and a current state, and each of them communicate with each other. How does it work? In order for the swarm to find the model they are […]

Applications for Dispersive Flies Optimisation

In the following article, I will be expanding upon the information I had given in my previous article by explaining how Dispersive Flies Optimisation can be used in a game environment such like Age of Empires. The Problem The problem that I intend DFO to solve will be to create agents for a real time […]