scholarly journals Outline of a new evolutionary algorithm for fuzzy systems learning

2002 ◽  
Vol 216 (5) ◽  
pp. 557-570 ◽  
Author(s):  
D T Pham ◽  
M Castellani
Keyword(s):  
Evolutionary Algorithm ◽  
Knowledge Base ◽  
Automatic Generation ◽  
Genetic Operators ◽  
Fuzzy Logic Systems ◽  
Adaptive Selection ◽  
Genetic Search ◽  
Acceptable Quality ◽  
Systems Learning ◽  
Level Of Knowledge

This paper describes a new evolutionary algorithm for the automatic generation of the knowledge base for fuzzy logic systems. In common with other evolutionary approaches, the approach adopted is to treat the problem of knowledge base generation as that of searching for a solution of an acceptable quality by applying genetic operators to a population of potential solutions. The algorithm presented dynamically adjusts the focus of the genetic search by dividing the population into three subgroups, each concerned with a different level of knowledge base optimization. The algorithm also includes a new adaptive selection routine that aims to keep the selection pressure constant throughout the learning phase.

Methods for solving problems of multicriterial optimization in timber processing complex

10.12737/2184 ◽  
2014 ◽  
Vol 3 (4) ◽  
pp. 83-89
Keyword(s):  
Evolutionary Algorithm ◽  
Optimization Problems ◽  
Stochastic Algorithms ◽  
Genetic Operators ◽  
Traditional Methods ◽  
Genetic Search ◽  
Hybrid Evolutionary Algorithm ◽  
Basic Properties ◽  
Multicriterial Optimization

Basic properties of real practical optimization problems,  existence of many criteria of significant limitations, different-scale variables and algorithmic assignment of functions  make it impossible to use traditional methods. Way out of this situation is the use of adaptive stochastic algorithms, successfully overcoming these difficulties. To solve these problems it is proposed to develop a hybrid evolutionary algorithm that combines the use of the modified genetic operators (GO), selection schemes and architectures of genetic search.

scholarly journals From Modernism to Metro Maps: Mondrian, Beck, and Salomon

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Peter B. Lloyd
Keyword(s):  
Dynamic Equilibrium ◽  
Dynamic Balance ◽  
Computer Software ◽  
Automatic Generation ◽  
Acceptable Quality ◽  
Daunting Task ◽  
London Underground ◽  
Superficial Similarity ◽  
Psychological Force ◽  
Metro Maps

Many people have noted a suggestive parallel between the abstract paintings of Piet Mondrian and the design of metro maps such as Henry Beck’s map of the London Underground. Is this just a superficial similarity or is there some more substantive point of connection? This article speculates that the ‘dynamic equilibrium’, which gave Mondrian’s mature pictures their inimitable psychological force, could also be at work in the most iconic metro maps, such as those of Henry Beck and George Salomon. If so, then the automatic generation of metro maps to an acceptable quality may entail the daunting task of operationalising this dynamic balance and encoding it in computer software. 

Automatic Generation of Dialogues based on Grammatical Inference and the use of a Knowledge Base

2020 ◽  
pp. 1-9
Author(s):  
Andrés Vázquez ◽  
David Pinto ◽  
Juan Pallares ◽  
Rafael De la Rosa ◽  
Elia Tecotl
Keyword(s):  
Knowledge Base ◽  
Automatic Generation ◽  
Grammatical Inference

Scheme Automatic Generation Based on Full Life Cycle Assessment Gene Model of Structure

2014 ◽  
Vol 687-691 ◽  
pp. 1622-1627
Author(s):  
Ji Wen Chen ◽  
Hong Juan Yang ◽  
Nan Xu ◽  
Li Li
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Fitness Function ◽  
Automatic Generation ◽  
Genetic Operators ◽  
Gene Model ◽  
Structure Information ◽  
Full Life Cycle ◽  
Diamond Wire Saw ◽  
Full Life

Considering the inheritance and hereditary of product structure life cycle assessment, full life cycle assessment properties of structure is introduced into expression of design scheme. Scheme evolution design is presented based on gene model of full life cycle assessment properties of structure. The gene model of life cycle assessment properties of structure is established. The variable length coding is converted to equal length coding to realize the quantitative representation of structure information. The fitness function is established for life cycle assessment of structure by Analytic Hierarchy Process. The genetic operators are designed. Scheme evolution design is realized based on gene model of life cycle assessment of structure, reflecting life cycle assessment properties of design schemes, improving the efficiency of product design generation. The evolution design example of multi-rope diamond wire saw verifies the feasibility of the imposed method.

Ontologies and Fine-Grained Control Over Sharing of Engineering Modeling Knowledge in a Web Based Engineering Environment

2005 ◽  
Author(s):  
Neelima Kanuri ◽  
Ian R. Grosse ◽  
Jack C. Wileden ◽  
Wei-Shan Chiang
Keyword(s):  
Knowledge Sharing ◽  
Knowledge Base ◽  
Automatic Generation ◽  
Base System ◽  
Engineering Analysis ◽  
Analysis Model ◽  
Web Based ◽  
Technical Report ◽  
Engineering Modeling ◽  
Base Application

Within the knowledge modeling community the use of ontologies in the construction of knowledge intensive systems is now widespread. Ontologies are used to facilitate knowledge sharing, reuse, agent interoperability and knowledge acquisition. We have developed an ontology for representing and sharing engineering analysis modeling (EAM) knowledge in a web-based environment and implemented these ontologies into a computational knowledge base system, called ON-TEAM, using Prote´ge´1. In this paper we present new object-oriented methods that operate on the EAM knowledge base to perform specific tasks. One such method is the creation of a flat technical report that describes the properties or class relationships of an engineering modeling analysis class and/or the modeling knowledge involved in the development of a specific engineering analysis model. This method is a JAVA application that accesses the EAM knowledge base application using the Prote´ge´ application programming interface. It presents the user a graphical user interface for selecting the EAM class or specific analysis model instance and then exports the appropriate knowledge to a text file to form the basis of a technical report. Secondly, a method controlling knowledge access and sharing is under development which allocates permissions to portions of the knowledge base according to accessibility permissions. This method controls as efficiently as possible fine grain knowledge sharing. Both the methods acting together enable automatic generation of recipient-specific technical reports based on the recipient’s security permissions, customized knowledge viewing, and customized knowledge exporting through various knowledge exchange formats such as XML Walsh [1], RDF Klyne [2], etc. Finally, implementation of these methods and our EAM knowledge base application as components within commercial web-based distributed software architecture is presented.

Sign in / Sign up

Export Citation Format

Share Document