A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions
Over the past few decades, fuzzy systems have been widely used in several application
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …
[KIRJA][B] Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases
O Cord - 2001 - books.google.com
In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …
Ten years of genetic fuzzy systems: current framework and new trends
Although fuzzy systems demonstrated their ability to solve different kinds of problems in
various applications, there is an increasing interest on augmenting them with learning …
various applications, there is an increasing interest on augmenting them with learning …
[KIRJA][B] Evolutionäre Algorithmen: Genetische Algorithmen—Strategien und Optimierungsverfahren—Beispielanwendungen
Evolutionäre Algorithmen bilden eine Klasse sehr universeller Werkzeuge zur Lösung von
Optimierungsproblemen. Mit diesem Buch lernen Sie alles Wesentliche über dieses …
Optimierungsproblemen. Mit diesem Buch lernen Sie alles Wesentliche über dieses …
[HTML][HTML] Online identification of Takagi–Sugeno fuzzy models based on self-adaptive hierarchical particle swarm optimization algorithm
This paper presents an approach for online learning of Takagi–Sugeno (TS) fuzzy models. A
novel learning algorithm based on a Hierarchical Particle Swarm Optimization (HPSO) is …
novel learning algorithm based on a Hierarchical Particle Swarm Optimization (HPSO) is …
Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map
A Fathi, A Mozaffari - Journal of Intelligent Manufacturing, 2014 - Springer
The purpose of current investigation is to develop a robust intelligent framework to achieve
efficient and reliable operating process parameters for laser solid freeform fabrication (LSFF) …
efficient and reliable operating process parameters for laser solid freeform fabrication (LSFF) …
Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm
The paper proposes a new method to automatically extract all fuzzy parameters of a Fuzzy
Logic Controller (FLC) in order to control nonlinear industrial processes. The main objective …
Logic Controller (FLC) in order to control nonlinear industrial processes. The main objective …
Genetic fuzzy system for data-driven soft sensors design
This paper proposes a new method for soft sensors (SS) design for industrial applications
based on a Takagi–Sugeno (T–S) fuzzy model. The learning of the T–S model is performed …
based on a Takagi–Sugeno (T–S) fuzzy model. The learning of the T–S model is performed …
Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in …
A Fathi, A Mozaffari - Applied Soft Computing, 2014 - Elsevier
The purpose of current investigation is to engage two efficient evolvable neuro-evolutionary
machines to identify a nonlinear dynamic model for a shape memory alloy (SMA) actuator …
machines to identify a nonlinear dynamic model for a shape memory alloy (SMA) actuator …
A genetic fuzzy agent using ontology model for meeting scheduling system
CS Lee, CC Jiang, TC Hsieh - Information Sciences, 2006 - Elsevier
A Genetic Fuzzy Agent (GFA) using the ontology model for Meeting Scheduling System
(MSS) is presented in this paper. The ontology model includes the Fuzzy Meeting …
(MSS) is presented in this paper. The ontology model includes the Fuzzy Meeting …