Genetic Algorithms seem like multiple simulated annealing instances, augmented with a crossover genetic operator. The crossover operator selects predefined genes from two different parent solutions to ...
I've been thinking: computing systems such as the Lambda Calculus and its variations are usually very simple and can be implemented in as few as ~80 lines of Haskell code. There is a self-interpreter ...
I'm looking for a formal definition of the space that consists of the dimensions gene 1-N and the fitness. In literature there is often the search space mentioned, but it only contains all genes. If ...
I have a few questions about linear genetic programming. I'm struggling to find much information on them, hopefully someone here can help me, it would be much appreciated. 1) Initialisation: When ...
What limits the current performance of genetic algorithms and neural networks? The principles underlying these techniques, at least the popular science presentation of these principles, suggests that ...
I was working on parallel implementation of Genetic Algorithm with MapReduce. I have found that in many papers authors are referencing OneMAX as problem they used to test scalability and convergence ...
Is it theoretically possible to reconstruct the contents of a file from its id using evolutionary computing? A file in this case can be a text, image, video or audio file. The 'id' in this case, ...
A colleague who works on genetic programming asked me the following question. I first tried to solve it based on a greedy approach, but on a second thought, I found a counterexample to the greedy ...