New Achievements in Evolutionary Computation
Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm...
Na minha lista:
| Outros Autores: | |
|---|---|
| Formato: | Recurso Electrónico Capítulo de Livro |
| Idioma: | inglês |
| Publicado em: |
IntechOpen
2010
|
| Assuntos: | |
| Acesso em linha: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: | Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation. |
|---|---|
| Descrição Física: | 1 electronic resource (328 p.) |
| ISBN: | 3083 9789533070537 9789535158530 |
| Acesso: | Open Access |