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Agent-based computing / Duarte Bouça and Amaro Gafagnão, editors.

Contributor(s): Material type: TextTextSeries: Computer science, technology and applicationsPublisher: New York : Nova Science Publishers, [2010]Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781611225761
  • 1611225760
Subject(s): Genre/Form: Additional physical formats: Print version:: Agent-based computingDDC classification:
  • 006.3 22
LOC classification:
  • QA76.76.I58
Online resources:
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
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 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
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
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Includes bibliographical references and index.

Description based on print version record.

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 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

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

English.

Master record variable field(s) change: 072 - OCLC control number change

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