Topic Tag: Genetic Algorithm

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 A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study

The purpose of this study is to investigate an approach to group lots in batches and to schedule these batches on Acta-Mobilier cutting work-center while taking into account numerous constraints and objectives. The specific batching method was proposed to handle the Acta-Mobilier problem and a math…


 Quantum Autoencoders via Quantum Adders with Genetic Algorithms

 

The quantum autoencoder is a recent paradigm in the field of quantum machine learning, which may enable an enhanced use of resources in quantum technologies. To this end, quantum neural networks with less nodes in the inner than in the outer layers were considered. Here, we propose a useful connect…


 AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms

  

In this paper, we present the first-of-its-kind machine learning (ML) system, called AI Programmer, that can automatically generate full software programs requiring only minimal human guidance. At its core, AI Programmer uses genetic algorithms (GA) coupled with a tightly constrained programming la…


 Linking Generative Adversarial Learning and Binary Classification

 

In this note, we point out a basic link between generative adversarial (GA) training and binary classification — any powerful discriminator essentially computes an (f-)divergence between real and generated samples. The result, repeatedly re-derived in decision theory, has implications for GA …


 Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutation-only Evolutionary Algorithms

Explaining to what extent the real power of genetic algorithms lies in the ability of crossover to recombine individuals into higher quality solutions is an important problem in evolutionary computation. In this paper we show how the interplay between mutation and crossover can make genetic algorit…


 Phoenix: A Self-Optimizing Chess Engine

  

Since the advent of computers, many tasks which required humans to spend a lot of time and energy have been trivialized by the computers’ ability to perform repetitive tasks extremely quickly. Playing chess is one such task. It was one of the first games which was `solved’ using AI. Wit…