A review on computational intelligence for identification of nonlinear dynamical systems
This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions
Over the recent years, continuous optimization has significantly evolved to become the
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
Personalized saliency in task-oriented semantic communications: Image transmission and performance analysis
Semantic communication, as a promising technology, has emerged to break through the
Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future …
Shannon limit, which is envisioned as the key enabler and fundamental paradigm for future …
Emotion recognition from body movement
Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …
[图书][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 …
Environmental/economic power dispatch using multiobjective evolutionary algorithms
MA Abido - IEEE transactions on power systems, 2003 - ieeexplore.ieee.org
This paper presents a new multiobjective evolutionary algorithm for environmental/economic
power dispatch (EED) problem. The EED problem is formulated as a nonlinear constrained …
power dispatch (EED) problem. The EED problem is formulated as a nonlinear constrained …
Multiobjective evolutionary algorithms for electric power dispatch problem
MA Abido - IEEE transactions on evolutionary computation, 2006 - ieeexplore.ieee.org
The potential and effectiveness of the newly developed Pareto-based multiobjective
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …
A computationally efficient evolutionary algorithm for real-parameter optimization
Due to increasing interest in solving real-world optimization problems using evolutionary
algorithms (EAs), researchers have recently developed a number of real-parameter genetic …
algorithms (EAs), researchers have recently developed a number of real-parameter genetic …
Genetic learning of fuzzy cognitive maps
Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …
An efficient optimization method for identifying parameters of soft structured clay by an enhanced genetic algorithm and elastic–viscoplastic model
Soft structured clays usually exhibit complex behaviors, which can lead to difficulties in the
determination of parameters and high testing costs. This paper aims to propose an efficient …
determination of parameters and high testing costs. This paper aims to propose an efficient …