TWEANN Approach to the Double Pole Balancing Problem

نویسندگان

چکیده

We discuss the effect of mutation probabilities on performance Mutation-Based Evolving Artificial Neural Networks (MBEANN), which is one methods Topology and Weight (TWEANN). TWEANN an approach for evolving both structures weights artificial neural networks. expected to perform well than using a fixed-topology network with only weight values. The phenotype MBEANN consists sub-networks, topology grows independently within them. Moreover, structural mutations are designed reduce influence fitness value. In this study, we focus by double pole balancing problem without velocity inputs. compared NeuroEvolution Augumenting Topologies (NEAT), typical method TWEANN. results show that has higher task achievement rate regardless difficulty. From comparison NEAT, shows even larger structure due sub-networks.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Bi-Objective Approach to an Assembly Line Re-Balancing Problem: Model and Differential Evolution Algorithms

Assembly lines are special kinds of production systems which are of great importance in the industrial production of high quantity commodities. In many practical manufacturing systems, configuration of assembly lines is fixed and designing a new line may be incurred huge amount of costs and thereby it is not desirable for practitioners. When some changes related to market demand occur, it is wo...

متن کامل

from linguistics to literature: a linguistic approach to the study of linguistic deviations in the turkish divan of shahriar

chapter i provides an overview of structural linguistics and touches upon the saussurean dichotomies with the final goal of exploring their relevance to the stylistic studies of literature. to provide evidence for the singificance of the study, chapter ii deals with the controversial issue of linguistics and literature, and presents opposing views which, at the same time, have been central to t...

15 صفحه اول

Evolved Neurocontrollers for Pole-Balancing

An evolutionary algorithm for the development of neural networks with arbitrary connectivity is presented. The algorithm is not based on genetic algorithms, but is inspired by a biological theory of coevolving species. It sets no constraints on the number of neurons and the architecture of a network, and develops network topology and parameters like weights and bias terms simultaneously. Design...

متن کامل

A goal programming approach to simple U-line balancing problem

In this paper, a goal programming model for the simple U-line balancing (ULB) problem is developed. The model is based on the integer programming formulation developed by Urban [Urban, Note: Optimal balancing of U-shaped assembly lines, Management Science 44(5) (1998) 738–741] for the ULB problem and the goal model of Deckro and Rangachari [Deckro, Rangachari, A goal approach to assembly line b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Shisutemu Seigyo Jo?ho? Gakkai ronbunshi

سال: 2022

ISSN: ['1342-5668', '2185-811X']

DOI: https://doi.org/10.5687/iscie.35.126