The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provid...
The goal of the authors is adroit integration of three mainstream disciplines of the natural science...
As computing devices proliferate, demand increases for an understanding of emerging computing paradi...
The development of computational intelligence (CI) systems was inspired by observable and imitable a...
ABSTRACT: Biological processes and methods have been influencing science and technology for many dec...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
Nature in itself is the best example to solve problems in an efficient and effective manner. During ...
Abstract. Nature-inspired algorithms such as genetic algorithms, particle swarm optimisation and ant...
For thousands of years, humans have looked to nature to find solutions for their problems. This tren...
The book offers a snapshot of the theories and applications of soft computing in the area of complex...
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, ...
Nature has been the inspiration in art for centuries. In the 19th Century there were a number of att...
In the era of cyber-physical systems, the area of control of complex systems has grown to be one of ...
Research on stochastic optimisation methods emerged around half a century ago. One of these methods,...
The study of bionics bridges the functions, biological structures and organizational principles foun...
Soft computing, intelligent robotics and control are in the core interest of contemporary engineerin...
The goal of the authors is adroit integration of three mainstream disciplines of the natural science...
As computing devices proliferate, demand increases for an understanding of emerging computing paradi...
The development of computational intelligence (CI) systems was inspired by observable and imitable a...
ABSTRACT: Biological processes and methods have been influencing science and technology for many dec...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
Nature in itself is the best example to solve problems in an efficient and effective manner. During ...
Abstract. Nature-inspired algorithms such as genetic algorithms, particle swarm optimisation and ant...
For thousands of years, humans have looked to nature to find solutions for their problems. This tren...
The book offers a snapshot of the theories and applications of soft computing in the area of complex...
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, ...
Nature has been the inspiration in art for centuries. In the 19th Century there were a number of att...
In the era of cyber-physical systems, the area of control of complex systems has grown to be one of ...
Research on stochastic optimisation methods emerged around half a century ago. One of these methods,...
The study of bionics bridges the functions, biological structures and organizational principles foun...
Soft computing, intelligent robotics and control are in the core interest of contemporary engineerin...
The goal of the authors is adroit integration of three mainstream disciplines of the natural science...
As computing devices proliferate, demand increases for an understanding of emerging computing paradi...
The development of computational intelligence (CI) systems was inspired by observable and imitable a...