Sökning: "Evolutionary computing"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden Evolutionary computing.
1. Symbolic Regression using Genetic Programming Leveraging Neural Information Processing
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Regression analysis conducted with traditional mathematical methods can be sub-optimal if the exact model of the observed data is unknown. Evolutionary computing (EC) and deep learning (DL) are viable alternatives, since regression performed with these methods tends to be less dependent on a particular model. LÄS MER
2. A scalable species-based genetic algorithm for reinforcement learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Existing methods in Reinforcement Learning (RL) that rely on gradient estimates suffer from the slow rate of convergence, poor sample efficiency, and computationally expensive training, especially when dealing with complex real-world problems with a sizable dimensionality of the state and action space. In this work, we attempt to leverage the benefits of evolutionary computation as a competitive, scalable, and gradient-free alternative to training deep neural networks for RL-specific problems. LÄS MER
3. ERA: Evolution of Residual Architectures
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This thesis investigates how well a neural architecture search can find competitive image classifiers on the CIFAR-10 data set with limited computational resources. Most work done on architecture search either uses vast computational resources or narrow and strongly informed space of possible solutions. LÄS MER
4. Building Evolutionary Clustering Algorithms on Spark
Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : Evolutionary clustering (EC) is a kind of clustering algorithm to handle the noise of time-evolved data. It can track the truth drift of clustering across time by considering history. LÄS MER
5. OpenStack Networking Scheduler : RESOURCE MANAGEMENT AND SCHEDULINGFOR CLOUD NETWORK SERVICES
Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)Sammanfattning : The opportunity of vitalizing recourses is becoming increasingly attractive, and traditional machine virtualization is no longer the only thing in mind. Today, virtualization also concerns resources such as firewalls, routers and switches. For this to be possible and successful, a flexible and evolutionary scheduler is necessary. LÄS MER