WelcomeHi, my name is Lee.
I'm a developer from the UK who loves technology and business. Here you'll find articles and tutorials about things that interest me. If you want to hire me or know more about me head over to my about me page
But now I find myself in a position where I haven't updated this site for over a year, and while I've had things to say during that time I've felt like it wasn't useful enough to publish. I decided recently that I don't want to think like that anymore. I want to start writing more openly here without worrying so much about the standard of the content.
As the name implies this was meant to be primarily a place where I could talk about my projects, so from now on that's exactly what I'll be focusing on. I want to set myself the target of writing monthly updates about what I'm working on, and also what I've learnt during the month. And while these posts won't be written for anyone but myself, I'll try to find some moral and keep them as interesting as I can.
I think it would be good to have a place where I can set public targets and have public expectations of myself. If I say I'll be doing X over the next month but don't, I feel I need to publicly justify my choices will help me avoid making the wrong ones.
While I'll be focusing on writing about my projects, I also want to write about personal development and other topics that interest me from time to time too.
I plan to write my first update over the next few days with content going up at least monthly from then on.
Originally proposed in 1992 by Marco Dorigo, ant colony optimization (ACO) is an optimization technique inspired by the path finding behaviour of ants searching for food. ACO is also a subset of swarm intelligence - a problem solving technique using decentralized, collective behaviour, to derive artificial intelligence.
An ideal way to explore the potential of genetic algorithms is by applying them to real world data. Perhaps one of the easiest ways to do this is by using the Google Maps API to implement a solution to the traveling salesman problem.