Ants and Reflections on Nature-Inspired Artificial Intelligence

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The Ant Colony Optimisation (ACO) algorithm is a heuristic method of finding “good” solutions to optimization problems. Introduction to ACO […]

GA Analysis

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Christmas is approaching… Temperatures are dropping… and I keep busy experimenting with Swarm (Artificial) Intelligence. So whilst on one side […]

How to Solve Knapsack Problems with Swarm Intelligence

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Join me for this hands on tutorial where we will code a c++ program from sratch to solve the “knapsack […]

Using swarm A.I. to play cards

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This week we’ll see how to use my c++ DFO algorithm to solve a logic card game   Setting up […]

Genetic Algorithm – live coding in python

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Today we are solving the Travelling Salesman Problem using evolutionary computation. As Wikipedia says: In artificial intelligence, an evolutionary algorithm […]

Finding Symmetries and Reflections on Swarm Aided Video Analysis

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Symmetries: a stochastical optimisation approach for images   Here is a video tutorial I made to show you how to […]

Playing Around With The SDS Algorithm

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Stochastic Diffusion Search, first incepted in 1989 by John Mark Bishop, belongs to the extended family of swarm intelligence algorithms.[1] […]

Dispersive Flies Optimisation – part 2

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Following from last week’s post, this time we are going to reason on how DFO could be applied to moving […]

Dispersive Flies Optimisation

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What is DFO? Dispersive Flies Optimisation Research (DFO) [1] is a swarm intelligence algorithm. That is, it is an algorithm […]

No Free Lunch Theorem & Natural Computing

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You ain’t getting a free lunch! We sometimes hear that in life there is no such as thing as a […]