Description |
1 online resource. |
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text file |
Series |
Computer science, technology and applications
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Computer science, technology and applications.
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Bibliography |
Includes bibliographical references and index. |
Contents |
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 |
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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 |
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3.2.2. Feature Selection Experiments3.3. 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 |
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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 |
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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 |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Language |
English. |
Subject |
Intelligent agents (Computer software)
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Intelligent agents (Computer software) |
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Distributed artificial intelligence.
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Distributed artificial intelligence. |
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Data mining.
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Data mining. |
Genre/Form |
Electronic books.
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Added Author |
Bouça, Duarte.
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Gafagnão, Amaro.
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Other Form: |
Print version: Agent-based computing New York : Nova Science Publishers, c2010. 1608766845 (hardcover) (DLC) 2009041926 |
ISBN |
9781611225761 ebook |
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1611225760 |
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1608766845 hardcover |
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9781608766840 hardcover |
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