Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. Previous editions of NICSO were held in Granada, Spain (2006 & 2010), Acireale, Italy (2007), Tenerife, Spain (2008), and Cluj-Napoca, Romania (2011). NICSO 2013 and this book provides a place where state-of-the-art research, latest i...
Swarm intelligence is a one of the areas for evaluating the optimization states. Many algorithms hav...
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an in...
There are numerous large-scale global optimization problems encountered in real-world applications i...
Biological and other natural processes have always been a source of inspiration for computer science...
The vast majority of real-world problems can be expressed as an optimisation task by formulating an ...
Research on stochastic optimisation methods emerged around half a century ago. One of these methods,...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
In the present era, which is characterized by an unprecedented deluge of data, coming by many divers...
Nature has provided rich models for computational problem solving, including optimizations based on ...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...
Nature has efficiently provided solutions to complex real world problems since millenniums. This has...
This book comprises nine selected works on numerical and computational methods for solving multiobje...
This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms...
13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, ...
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspi...
Swarm intelligence is a one of the areas for evaluating the optimization states. Many algorithms hav...
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an in...
There are numerous large-scale global optimization problems encountered in real-world applications i...
Biological and other natural processes have always been a source of inspiration for computer science...
The vast majority of real-world problems can be expressed as an optimisation task by formulating an ...
Research on stochastic optimisation methods emerged around half a century ago. One of these methods,...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
In the present era, which is characterized by an unprecedented deluge of data, coming by many divers...
Nature has provided rich models for computational problem solving, including optimizations based on ...
In recent times computational algorithms inspired by biological processes and evolution are gaining ...
Nature has efficiently provided solutions to complex real world problems since millenniums. This has...
This book comprises nine selected works on numerical and computational methods for solving multiobje...
This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms...
13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, ...
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspi...
Swarm intelligence is a one of the areas for evaluating the optimization states. Many algorithms hav...
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an in...
There are numerous large-scale global optimization problems encountered in real-world applications i...