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1.

電子ブック
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1. Design by Evolution
G. Rozenberg, Luigi C. Barone, Th Bäck, Philip F. Hingston, Zbigniew Michalewicz
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2008
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目次情報: 続きを見る
Biology / Part I：
Evolutionary Design in Biology / Kay C. Wiese
Intelligent Design and Evolutionary Computation / Thomas English ; Garrison W. Greenwood1：
Inference of Genetic Networks Using an Evolutionary Algorithm / Shuhei Kimura2：
Synthetic Biology: Life, Jim, but Not As We Know It / Jennifer Hallinan3：
Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex Systems / Christian Jacob4：
Art / Part II：
Evolutionary Design in Art / Jon McCormack
Natural Processes and Artificial Procedures / Erwin Driessens ; Maria Verstappen5：
Evolutionary Exploration of Complex Fractals / Daniel Ashlock ; Brooke Jamieson6：
Evolving the Mandelbrot Set to Imitate Figurative Art / JJ Ventrella7：
Evolutionary L-systems / 8：
Embryogeny / Part III：
Evolutionary Design in Embryogeny
Embryogenesis of Artificial Landscapes / Stephen Gent ; Kenneth Bryden9：
On Form and Function: The Evolution of Developmental Control / Sanjeev Kumar10：
Modularity in a Computational Model of Embryogeny / Chris P. Bowers11：
Engineering / Part IV：
Evolutionary Design in Engineering / Kalyanmoy Deb
Engineering Optimization Using Evolutionary Algorithms: A Case Study on Hydro-thermal Power Scheduling / 12：
Multimodal Function Optimization of Varied-Line-Spacing Holographic Grating / Qing Ling ; Gang Wu ; Qiuping Wang13：
GPBG: A Framework for Evolutionary Design of Multidomain Engineering Systems Using Genetic Programming and Bond Graphs / Jianjun Hu ; Zhun Fan ; Jiachuan Wang ; Shaobo Li ; Kisung Seo ; Xiangdong Peng ; Janis Terpenny ; Ronald Rosenberg ; Erik Goodman14：
Index
Biology / Part I：
Evolutionary Design in Biology / Kay C. Wiese
Intelligent Design and Evolutionary Computation / Thomas English ; Garrison W. Greenwood1：
2.

電子ブック
ＥＢ
2. Bee-Inspired Protocol Engineering
Muddassar Farooq, Th Bäck, A. E. Eiben, G. Rozenberg
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2009
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Introduction / 1：
Motivation of the Work / 1.1：
Problem Statement / 1.2：
Hypotheses / 1.2.1：
An Engineering Approach to Nature-Inspired Routing Protocols / 1.3：
The Scientific Contributions of the Work / 1.4：
A Simple, Disributed, Decentralized Multi-Agent System / 1.4.1：
A Comprehensive Routing System / 1.4.2：
An Empirical Comprehensive Performance Evaluation Framework / 1.4.3：
A Scalability Framework for (Nature-Inspired) Agent-Based Routing Protocols / 1.4.4：
Protocol Engineering of Nature-Inspired Routing Protocols / 1.4.5：
A Nature-Inspired Linux Router / 1.4.6：
The Protocol Validation Framework / 1.4.7：
The Formal Framework for Nature-Inspired Protocols / 1.4.8：
A Simple, Efficient, and Scalable Nature-Inspired Security Framework / 1.4.9：
Emerging Mobile and Wireless Sensors Ad Hoc Networks / 1.4.10：
Organization of the Book / 1.5：
A Comprehensive Survey of Nature-Inspired Routing Protocols / 2：
Organization of the Chapter / 2.1：
Network Routing Algorithms / 2.2：
Features Landscape of a Modern Routing Algorithm / 2.2.1：
Taxonomy of Routing Algorithms / 2.2.2：
Ant Colony Optimization (ACO) Routing Algorithms for Fixed Networks / 2.3：
Important Elements of ACO in Routing / 2.3.1：
Ant-Based Control (ABC) for Circuit-Switched Networks / 2.3.2：
Ant-Based Control (ABC) for Packet-Switched Networks / 2.3.3：
AntNet / 2.3.4：
Ant Colony Routing (ACR) and AntNet+SELA QoS-Aware Routing / 2.3.5：
A Brief History of Research in AntNet / 2.3.6：
Evolutionary Routing Algorithms for Fixed Networks / 2.4：
Important Elements of EA in Routing / 2.4.1：
GARA / 2.4.2：
ASGA and SynthECA / 2.4.3：
DGA / 2.4.4：
Related Work on Routing Algorithms for Fixed Networks / 2.5：
Artificial Intelligence Community / 2.5.1：
Networking Community / 2.5.2：
Summary / 2.6：
From The Wisdom of the Hive to Routing in Telecommunication Networks / 3：
An Agent-Based Investigation of a Honeybee Colony / 3.1：
Labor Management / 3.2.1：
The Communication Network of a Honeybee Colony / 3.2.2：
Reinforcement Learning / 3.2.3：
Distributed Coordination and Planning / 3.2.4：
Energy-Efficient Foraging / 3.2.5：
Stochastic Selection of Flower Sites / 3.2.6：
Group Organization / 3.2.7：
BeeHive: The Mapping of Concepts from Nature to Networks / 3.3：
The Bee Agent Model / 3.4：
Estimation Model of Agents / 3.4.1：
Goodness of a Neighbor / 3.4.2：
Communication Paradigm of Agents / 3.4.3：
Packet-Switching Algorithm / 3.4.4：
BeeHive Algorithm / 3.5：
The Performance Evaluation Framework for Nature-Inspired Routing Algorithms / 3.6：
Routing Algorithms Used for Comparison / 3.7：
OSPF / 3.7.1：
Daemon / 3.7.4：
Simulation Environment for BeeHive / 3.8：
simpleNet / 3.8.1：
NTTNet / 3.8.2：
Node150 / 3.8.3：
Discussion of the Results from the Experiments / 3.9：
Congestion Avoidance Behavior / 3.9.1：
Queue Management Behavior / 3.9.2：
Hot Spots / 3.9.3：
Router Crash Experiments / 3.9.4：
Bursty Traffic Generator / 3.9.5：
Sessionless Network Traffic / 3.9.6：
Size of Routing Table / 3.9.7：
A Scalability Framework for Nature-Inspired Routing Algorithms / 3.10：
Existing Work on Scalability Analysis / 4.1：
The Scalability Model for a Routing Algorithm / 4.1.2：
Cost Model / 4.2.1：
Power Model of an Algorithm / 4.2.2：
Scalability Metric for a Routing Algorithm / 4.2.3：
Simulation Environment for Scalability Analysis / 4.3：
Node350 / 4.3.1：
Node650 / 4.3.5：
Node1050 / 4.3.6：
Throughput and Packet Delivery Ratio / 4.4：
Packet Delay / 4.4.2：
Control Overhead and Suboptimal Overhead / 4.4.3：
Agent and Packet Processing Complexity / 4.4.4：
Routing Table Size / 4.4.5：
Investigation of the Behavior of AntNet / 4.4.6：
Towards an Empirically Founded Scalability Model for Routing Protocols / 4.5：
Scalability Matrix and Scalability Analysis / 4.5.1：
Scalability Analysis of BeeHive / 4.5.2：
Scalability Analysis of AntNet / 4.5.3：
Scalability Analysis of OSPF / 4.5.4：
BeeHive in Real Networks of Linux Routers / 4.6：
Engineering of Nature-Inspired Routing Protocols / 5.1：
Structural Design of a Routing Framework / 5.2.1：
Structural Semantics of the Network Stack / 5.2.2：
System Design Issues / 5.2.3：
Natural Routing Framework: Design and Implementation / 5.3：
Algorithm-Independent Framework / 5.3.1：
Algorithmic-Dependent BeeHive Module / 5.3.2：
Protocol Verification Framework / 5.4：
The Motivation Behind the Design and Structure of Experiments / 5.5：
Quantum Traffic Engineering / 5.6：
Real-World Applications Traffic Engineering / 5.6.2：
Hybrid Traffic Engineering / 5.6.3：
A Formal Framework for Analyzing the Behavior of BeeHive / 5.7：
Goodness / 6.1：
Analytical Model / 6.3：
Node Traffic / 6.3.1：
Link Flows / 6.3.2：
Calculation of Delays / 6.3.3：
Throughput / 6.3.4：
Empirical Verification of the Formal Model / 6.4：
Example 1 / 6.4.1：
Example 2 / 6.4.2：
An Efficient Nature-Inspired Security Framework for BeeHive / 6.5：
Robustness and Security Analysis of a Routing Protocol / 7.1：
Security Threats to Nature-Inspired Routing Protocols / 7.2.1：
Existing Works on Security of Routing Protocols / 7.2.2：
BeeHiveGuard: A Digital Signature-Based Security Framework / 7.3：
Agent Integrity / 7.3.1：
Routing Information Integrity / 7.3.2：
Architecture of BeeHiveGuard / 7.3.3：
BeeHiveAIS: an Immune-Inspired Security Framework for BeeHive / 7.4：
Artificial Immune Systems (AISs) / 7.4.1：
Behavioral Analysis of BeeHive for Designing an AIS / 7.4.2：
The AIS Model of BeeHiveAIS / 7.4.3：
Top-Level BeeHiveAIS / 7.4.4：
Simulation Models of Our Security Frameworks / 7.5：
Attack Scenarios on Simple Topologies / 7.5.1：
Analysis of Attacks and Effectiveness of Security Frameworks / 7.5.2：
Bee-Inspired Routing Protocols for Mobile Ad Hoc and Sensor Networks / 7.5.3：
Existing Works on Nature-Inspired MANET Routing Protocols / 8.1：
Bee Agent Model / 8.1.2：
Packers / 8.2.1：
Scouts / 8.2.2：
Foragers / 8.2.3：
Beeswarm / 8.2.4：
Architecture of BeeAdHoc / 8.3：
Packing Floor / 8.3.1：
Entrance / 8.3.2：
Dance Floor / 8.3.3：
Simulation Framework / 8.4：
Metrics / 8.4.1：
Node Mobility Behavior / 8.4.2：
BeeAdHoc in Real-World MANETs / 8.5：
A Performance Evaluation Framework for Real MANETs in Linux / 8.5.1：
Results of Experiments / 8.6：
Security Threats in BeeAdHoc / 8.7：
Challenges for Routing Protocols in Ad Hoc Sensor Networks / 8.8：
Existing Works on Routing Protocols for Wireless Sensor Networks / 8.8.1：
BeeSensor: Architecture and Working / 8.9：
BeeSensor Agent's Model / 8.9.1：
Protocol Description / 8.9.2：
A Performance Evaluation Framework for Nature-Inspired Routing Protocols for WSNs / 8.10：
Results / 8.10.1：
Conclusion and Future Work / 8.12：
Conclusion / 9.1：
Future Research / 9.2：
Quality of Service (QoS) Routing / 9.2.1：
Cyclic Paths / 9.2.2：
Intelligent and Knowledgeable Network Engineering / 9.2.3：
Bee Colony Metaheuristic / 9.2.4：
Natural Engineering: The Need for a Distinct Discipline / 9.3：
References
Index
Introduction / 1：
Motivation of the Work / 1.1：
Problem Statement / 1.2：
3.

電子ブック
ＥＢ
3. Swarm Intelligence
G. Rozenberg, Christian Blum, Th Bäck, Daniel Merkle, A.E. Eiben
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2008
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目次情報: 続きを見る
Introduction / Part I：
Biological Foundations of Swarm Intelligence / Madeleine Beekman ; Gregory A. Sword ; Stephen J. Simpson
Swarm Intelligence in Optimization / Christian Blum ; Xiaodong Li
Swarm Robotics / Erol Sahin ; Sertan Girgin ; Levent Bayindir ; Ali Emre Turgut
Routing Protocols for Next-Generation Networks Inspired by Collective Behaviors of Insect Societies: An Overview / Muddassar Farooq ; Gianni A. Di Caro
Applications / Part II：
Evolution, Self-organization and Swarm Robotics / Vito Trianni ; Stefano Nolfi ; Marco Dorigo
Particle Swarms for Dynamic Optimization Problems / Tim Blackwell ; Jurgen Branke
An Agent-Based Approach to Self-organized Production / Thomas Seidel ; Jeanette Hartwig ; Richard L. Sanders ; Dirk Helbing
Organic Computing and Swarm Intelligence / Daniel Merkle ; Martin Middendorf ; Alexander Scheidler
Introduction / Part I：
Biological Foundations of Swarm Intelligence / Madeleine Beekman ; Gregory A. Sword ; Stephen J. Simpson
Swarm Intelligence in Optimization / Christian Blum ; Xiaodong Li
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