[1] Pinball v2: Flippers
I share here, how I designed and built my custom version of mechanic flipper based on solenoid. This is my starting point for the project of real wooden pinball machine v2.0.
Cardboard pinball machine
I share my experiences with a project which gave me a lot of FUN – a cardboard pinball toy, with some electronics, some wooden parts like skewer sticks or ice cream sticks and a lot of hot glue. Interested? Read more!
Fischertechnik Building Blocks
Do you know Fischertechnik construction blocks? If not take a closer look on the post, small introduction into the German construction blocks world.
[4] Genetic Algorithms: example code
In this post I present an implementation of the Classic Genetic Algorithm version, as an interactive widget, using binary representation of chromosome (we use 0/1 bits as a genes in chromosome, to encode variables). As you may know from previous post, this king of representation make operators easier to implement.
Debounce analog switch contacts noise
A bouncing effect of the analog switch button can be reduced to minimum by simple RC low pass filter which can be upgraded by diode to allow faster switching.
[3] Genetic Algorithms: Binary chromosomes
Chromosome – individual in population always represent a single problem solution. Binary chromosome is built of binary genes (0 or 1, true or false), this kind of representation make operators implementation much easier, but also has some disadvantages
[2] Genetic Algorithms: Operators
Every genetic algorithm is built from 4 basic phases: crossover (expanding the population), mutation, evaluation and selection repeated in loop. There are many other steps that can be added and variations, but the classic genetic algorithm contains only that four. I also explain a basic terms from GA world.
[1] Genetic Algorithms: Intro
Genetic algorithms (metaheuristics algorithms family) help us solve problems which are impossible, very hard or take too long to solve by other solutions.