Agent-based computing:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York
Nova Science Publishers
©2010
|
| Schriftenreihe: | Computer science, technology and applications
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 |
| Beschreibung: | Includes bibliographical references and index ""AGENT-BASED COMPUTING ""; ""AGENT-BASED COMPUTING ""; ""CONTENTS ""; ""PREFACE ""; ""AGENT-BASED GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""1. INTRODUCTION ""; ""2. CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""2.1. Analysis of Algorithm ""; ""2.1.1. Chain-Like Agent Structure ""; ""2.1.2. Selection Process Based on Dynamic Neighboring Competition Strategy ""; ""2.1.3. Neighboring Crossover Process ""; ""2.1.4. Adaptive Mutation Process ""; ""2.1.5. Stop Criterion ""; ""2.1.6. Elitism Strategy"" ""2.1.7. Realization of Algorithm """"2.2. Experimental Results ""; ""2.2.1. Global Numerical Optimization Experiments ""; ""2.2.2. Feature Selection Experiments""; ""2.3. Conclusions ""; ""3. MULTIPLE-POPULATION CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""3.1. Analysis of Algorithm ""; ""3.1.1. Multi-Population Cycle Chain-Like Agent Structure ""; ""3.1.2. Genetic Operators""; ""3.1.3. Realization of Algorithm ""; ""3.1.4. Computational Complexity""; ""3.2. Experimental Results ""; ""3.2.1. Global Numerical Optimization Experiments "" ""3.2.2. Feature Selection Experiments""""3.3. Conclusions ""; ""CONCLUSIONS AND FUTURE WORK ""; ""ACKNOWLEDGMENTS""; ""REFERENCES ""; ""MULTI-AGENT ENTERPRISE SUSTAINABILITY PERFORMANCE MEASUREMENT SYSTEM""; ""ABSTRACT ""; ""INTRODUCTION ""; ""METHODOLOGY""; ""SUSTAINABILITY AGENT ""; ""1. The Selection of Suitable Indicators ""; ""2. Retrieving data from Data Repository Agent ""; ""3. Calculating the Weights of Indicators ""; ""4. Calculating Sustainability Performance Indices by Using MCDM Methods""; ""DATA REPOSITORY AGENT ""; ""ALERT MANAGEMENT AGENT ""; ""COMMUNICATION AGENT "" ""APPLICATION """"Sustainability Agent ""; ""Selecting the Proper Indicators ""; ""Retrieving the Data with Respect to the Indicators ""; ""Calculating the Importance Weights ""; ""Calculating the Performance Indices ""; ""Aggregate Ranking Using Copeland method ""; ""Calculating the Composite Sustainability Ranking Using Copeland method ""; ""ALERT MANAGEMENT AGENT ""; ""Communication Agent ""; ""DISCUSSION AND IMPLICATIONS ""; ""CONCLUSION ""; ""APPENDIX""; ""REFERENCES ""; ""A MODULAR ARTIFICIAL NEURAL NETWORK BASED DECISION MAKING IN A MULTI-AGENT ROBOT SOCCER SYSTEMS ""; ""ABSTRACT "" ""1. INTRODUCTION """"2. THE PROBLEM DESCRIPTION ""; ""3. THE BASIC ANN ARCHITECTURE ""; ""4. MODULAR ANN ARCHITECTURE ""; ""5. RESULTS AND DISCUSSION ""; ""CONCLUSION ""; ""REFERENCES""; ""SECURITY AND PRIVACY IN TRACK AND TRACE INFRASTRUCTURES ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""1.1. Radio Frequency Identification ""; ""1.2. Track and Trace Infrastructures ""; ""2. SECURITY REQUIREMENTS ""; ""2.1. Confidentiality ""; ""2.2. Integrity ""; ""3. BATCH RECALLS ""; ""3.1. Example ""; ""3.2. Building Blocks ""; ""3.2.1. Identity-based Encryption ""; ""3.2.2. Boneh-Franklin Encryption "" |
| Beschreibung: | xii, 334 pages |
| ISBN: | 9781611225761 1611225760 |
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| 245 | 1 | 0 | |a Agent-based computing |c Duarte Bouça and Amaro Gafagnão, editors |
| 264 | 1 | |a New York |b Nova Science Publishers |c ©2010 | |
| 300 | |a xii, 334 pages | ||
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| 490 | 0 | |a Computer science, technology and applications | |
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a ""AGENT-BASED COMPUTING ""; ""AGENT-BASED COMPUTING ""; ""CONTENTS ""; ""PREFACE ""; ""AGENT-BASED GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""1. INTRODUCTION ""; ""2. CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""2.1. Analysis of Algorithm ""; ""2.1.1. Chain-Like Agent Structure ""; ""2.1.2. Selection Process Based on Dynamic Neighboring Competition Strategy ""; ""2.1.3. Neighboring Crossover Process ""; ""2.1.4. Adaptive Mutation Process ""; ""2.1.5. Stop Criterion ""; ""2.1.6. Elitism Strategy"" | ||
| 500 | |a ""2.1.7. Realization of Algorithm """"2.2. Experimental Results ""; ""2.2.1. Global Numerical Optimization Experiments ""; ""2.2.2. Feature Selection Experiments""; ""2.3. Conclusions ""; ""3. MULTIPLE-POPULATION CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""3.1. Analysis of Algorithm ""; ""3.1.1. Multi-Population Cycle Chain-Like Agent Structure ""; ""3.1.2. Genetic Operators""; ""3.1.3. Realization of Algorithm ""; ""3.1.4. Computational Complexity""; ""3.2. Experimental Results ""; ""3.2.1. Global Numerical Optimization Experiments "" | ||
| 500 | |a ""3.2.2. Feature Selection Experiments""""3.3. Conclusions ""; ""CONCLUSIONS AND FUTURE WORK ""; ""ACKNOWLEDGMENTS""; ""REFERENCES ""; ""MULTI-AGENT ENTERPRISE SUSTAINABILITY PERFORMANCE MEASUREMENT SYSTEM""; ""ABSTRACT ""; ""INTRODUCTION ""; ""METHODOLOGY""; ""SUSTAINABILITY AGENT ""; ""1. The Selection of Suitable Indicators ""; ""2. Retrieving data from Data Repository Agent ""; ""3. Calculating the Weights of Indicators ""; ""4. Calculating Sustainability Performance Indices by Using MCDM Methods""; ""DATA REPOSITORY AGENT ""; ""ALERT MANAGEMENT AGENT ""; ""COMMUNICATION AGENT "" | ||
| 500 | |a ""APPLICATION """"Sustainability Agent ""; ""Selecting the Proper Indicators ""; ""Retrieving the Data with Respect to the Indicators ""; ""Calculating the Importance Weights ""; ""Calculating the Performance Indices ""; ""Aggregate Ranking Using Copeland method ""; ""Calculating the Composite Sustainability Ranking Using Copeland method ""; ""ALERT MANAGEMENT AGENT ""; ""Communication Agent ""; ""DISCUSSION AND IMPLICATIONS ""; ""CONCLUSION ""; ""APPENDIX""; ""REFERENCES ""; ""A MODULAR ARTIFICIAL NEURAL NETWORK BASED DECISION MAKING IN A MULTI-AGENT ROBOT SOCCER SYSTEMS ""; ""ABSTRACT "" | ||
| 500 | |a ""1. INTRODUCTION """"2. THE PROBLEM DESCRIPTION ""; ""3. THE BASIC ANN ARCHITECTURE ""; ""4. MODULAR ANN ARCHITECTURE ""; ""5. RESULTS AND DISCUSSION ""; ""CONCLUSION ""; ""REFERENCES""; ""SECURITY AND PRIVACY IN TRACK AND TRACE INFRASTRUCTURES ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""1.1. Radio Frequency Identification ""; ""1.2. Track and Trace Infrastructures ""; ""2. SECURITY REQUIREMENTS ""; ""2.1. Confidentiality ""; ""2.2. Integrity ""; ""3. BATCH RECALLS ""; ""3.1. Example ""; ""3.2. Building Blocks ""; ""3.2.1. Identity-based Encryption ""; ""3.2.2. Boneh-Franklin Encryption "" | ||
| 650 | 7 | |a COMPUTERS / Enterprise Applications / Business Intelligence Tools |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Intelligence (AI) & Semantics |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Distributed artificial intelligence |2 fast | |
| 650 | 7 | |a Intelligent agents (Computer software) |2 fast | |
| 650 | 4 | |a Intelligent agents (Computer software) | |
| 650 | 4 | |a Distributed artificial intelligence | |
| 650 | 4 | |a Data mining | |
| 700 | 1 | |a Bouça, Duarte |e Sonstige |4 oth | |
| 700 | 1 | |a Gafagnão, Amaro |e Sonstige |4 oth | |
| 912 | |a ZDB-4-EBA | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029369716 | ||
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
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| id | DE-604.BV043961011 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:49Z |
| institution | BVB |
| isbn | 9781611225761 1611225760 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029369716 |
| oclc_num | 676917595 |
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| owner_facet | DE-1047 DE-1046 |
| physical | xii, 334 pages |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Nova Science Publishers |
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| series2 | Computer science, technology and applications |
| spelling | Agent-based computing Duarte Bouça and Amaro Gafagnão, editors New York Nova Science Publishers ©2010 xii, 334 pages txt rdacontent c rdamedia cr rdacarrier Computer science, technology and applications Includes bibliographical references and index ""AGENT-BASED COMPUTING ""; ""AGENT-BASED COMPUTING ""; ""CONTENTS ""; ""PREFACE ""; ""AGENT-BASED GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""1. INTRODUCTION ""; ""2. CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""2.1. Analysis of Algorithm ""; ""2.1.1. Chain-Like Agent Structure ""; ""2.1.2. Selection Process Based on Dynamic Neighboring Competition Strategy ""; ""2.1.3. Neighboring Crossover Process ""; ""2.1.4. Adaptive Mutation Process ""; ""2.1.5. Stop Criterion ""; ""2.1.6. Elitism Strategy"" ""2.1.7. Realization of Algorithm """"2.2. Experimental Results ""; ""2.2.1. Global Numerical Optimization Experiments ""; ""2.2.2. Feature Selection Experiments""; ""2.3. Conclusions ""; ""3. MULTIPLE-POPULATION CHAIN-LIKE AGENT GENETIC ALGORITHM FOR GLOBAL NUMERICAL OPTIMIZATION AND FEATURE SELECTION ""; ""3.1. Analysis of Algorithm ""; ""3.1.1. Multi-Population Cycle Chain-Like Agent Structure ""; ""3.1.2. Genetic Operators""; ""3.1.3. Realization of Algorithm ""; ""3.1.4. Computational Complexity""; ""3.2. Experimental Results ""; ""3.2.1. Global Numerical Optimization Experiments "" ""3.2.2. Feature Selection Experiments""""3.3. Conclusions ""; ""CONCLUSIONS AND FUTURE WORK ""; ""ACKNOWLEDGMENTS""; ""REFERENCES ""; ""MULTI-AGENT ENTERPRISE SUSTAINABILITY PERFORMANCE MEASUREMENT SYSTEM""; ""ABSTRACT ""; ""INTRODUCTION ""; ""METHODOLOGY""; ""SUSTAINABILITY AGENT ""; ""1. The Selection of Suitable Indicators ""; ""2. Retrieving data from Data Repository Agent ""; ""3. Calculating the Weights of Indicators ""; ""4. Calculating Sustainability Performance Indices by Using MCDM Methods""; ""DATA REPOSITORY AGENT ""; ""ALERT MANAGEMENT AGENT ""; ""COMMUNICATION AGENT "" ""APPLICATION """"Sustainability Agent ""; ""Selecting the Proper Indicators ""; ""Retrieving the Data with Respect to the Indicators ""; ""Calculating the Importance Weights ""; ""Calculating the Performance Indices ""; ""Aggregate Ranking Using Copeland method ""; ""Calculating the Composite Sustainability Ranking Using Copeland method ""; ""ALERT MANAGEMENT AGENT ""; ""Communication Agent ""; ""DISCUSSION AND IMPLICATIONS ""; ""CONCLUSION ""; ""APPENDIX""; ""REFERENCES ""; ""A MODULAR ARTIFICIAL NEURAL NETWORK BASED DECISION MAKING IN A MULTI-AGENT ROBOT SOCCER SYSTEMS ""; ""ABSTRACT "" ""1. INTRODUCTION """"2. THE PROBLEM DESCRIPTION ""; ""3. THE BASIC ANN ARCHITECTURE ""; ""4. MODULAR ANN ARCHITECTURE ""; ""5. RESULTS AND DISCUSSION ""; ""CONCLUSION ""; ""REFERENCES""; ""SECURITY AND PRIVACY IN TRACK AND TRACE INFRASTRUCTURES ""; ""ABSTRACT ""; ""1. INTRODUCTION ""; ""1.1. Radio Frequency Identification ""; ""1.2. Track and Trace Infrastructures ""; ""2. SECURITY REQUIREMENTS ""; ""2.1. Confidentiality ""; ""2.2. Integrity ""; ""3. BATCH RECALLS ""; ""3.1. Example ""; ""3.2. Building Blocks ""; ""3.2.1. Identity-based Encryption ""; ""3.2.2. Boneh-Franklin Encryption "" COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Data mining fast Distributed artificial intelligence fast Intelligent agents (Computer software) fast Intelligent agents (Computer software) Distributed artificial intelligence Data mining Bouça, Duarte Sonstige oth Gafagnão, Amaro Sonstige oth |
| spellingShingle | Agent-based computing COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Data mining fast Distributed artificial intelligence fast Intelligent agents (Computer software) fast Intelligent agents (Computer software) Distributed artificial intelligence Data mining |
| title | Agent-based computing |
| title_auth | Agent-based computing |
| title_exact_search | Agent-based computing |
| title_full | Agent-based computing Duarte Bouça and Amaro Gafagnão, editors |
| title_fullStr | Agent-based computing Duarte Bouça and Amaro Gafagnão, editors |
| title_full_unstemmed | Agent-based computing Duarte Bouça and Amaro Gafagnão, editors |
| title_short | Agent-based computing |
| title_sort | agent based computing |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Data mining fast Distributed artificial intelligence fast Intelligent agents (Computer software) fast Intelligent agents (Computer software) Distributed artificial intelligence Data mining |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Data mining Distributed artificial intelligence Intelligent agents (Computer software) |
| work_keys_str_mv | AT boucaduarte agentbasedcomputing AT gafagnaoamaro agentbasedcomputing |