optimization – Passions

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[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

Blog Genetic Algorithms

[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.

Blog First in series Genetic Algorithms

[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.