Catálogo de publicaciones - libros
Evolutionary Computation in Dynamic and Uncertain Environments
Shengxiang Yang ; Yew-Soon Ong ; Yaochu Jin (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-49772-1
ISBN electrónico
978-3-540-49774-5
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer Berlin Heidelberg 2007
Tabla de contenidos
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments
Shengxiang Yang
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 3-28
Particle Swarm Optimization in Dynamic Environments
Tim Blackwell
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 29-49
Evolution Strategies in Dynamic Environments
Lutz Schönemann
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 51-77
Orthogonal Dynamic Hill Climbing Algorithm: ODHC
Sanyou Zeng; Hui Shi; Lishan Kang; Lixin Ding
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 79-104
Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments
Renato Tinós; Shengxiang Yang
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 105-127
Learning and Anticipation in Online Dynamic Optimization
Peter A. N. Bosman
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 129-152
Evolutionary Online Data Mining: An Investigation in a Dynamic Environment
Hai H. Dam; Chris Lokan; Hussein A. Abbass
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 153-178
Adaptive Business Intelligence: Three Case Studies
Zbigniew Michalewicz; Martin Schmidt; Matthew Michalewicz; Constantin Chiriac
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 179-196
Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks
Frederico Paiva Quintão; Fabíola Guerra Nakamura; Geraldo Robson Mateus
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part I - Optimum Tracking in Dynamic Environments | Pp. 197-222
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization
Lars Gräning; Yaochu Jin; Bernhard Sendhoff
The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific of the person it concerns. Although users provide personal information for use in one specific context, they often have no idea on how such a personal information may be used subsequently.
In this paper, we introduce a new type of privacy policy, called , which defines how the personal information release will be (or should be) dealt with at the receiving party. A data handling policy allows users to define simple and appropriate levels of control over who sees what information about them and under which circumstances.
Part II - Approximation of Fitness Functions | Pp. 225-250