Advances in Swarm Intelligence

Name: Advances in Swarm Intelligence | Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012, Proceedings, Part I
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012, Proceedings, Part I

Ying Tan Yuhui Shi Zhen Ji(Herausgeber*in)

Springer (Verlag)

Erschienen am 13. Juni 2012

XXV, 623 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-3-642-30976-2 (ISBN)

53,49 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Title
Preface
Organization
Table of Contents
Swarm Intelligence Based Algorithms
The Biological Interaction Stability Problem
Introduction
Lyapunov Stability and Stabilization of Discrete Event Systems modeled with Petri Nets
Max-Plus Algebra
Basic Definitions
Matrices and Graphs
Max-Plus Recurrence Equations for Timed Event Petri Nets
The Solution to the Stability Problem for Discrete Event Dynamical Systems Modeled with Timed Petri Nets
The Biological Interaction Stability Problem
Conclusions
References
Population-Based Incremental with Adaptive Learning Rate Strategy
Introduction
Overview of the Standard PBIL
Overview of the PBIL with Adaptive Learning Rate
Problem Description and System Model
Problem Formulation
Selected Operating Conditions
PSS Structure and Objective Functions
Application of Standard PBIL to Controller Design
Application of APBIL to Controller Design
Design of the Conventional PSS
Simulation Results
Eigenvalue Analysis
Time Domain Simulations
Conclusions
Acknowledgments.
References
A SI-Based Algorithm for Structural Damage Detection
Introduction
Theoretical Background
Improved Particle Swarm Optimization
Continuous Ant Colony Optimization
SI-Based Optimization Problem on Structural Damage Detection
Experimental Verification
Configuration of 3-Storey Steel Frame
Structural Multi-damage Detection
Conclusions
References
A Quantum-inspired Bacterial Swarming Optimization Algorithm for Discrete Optimization Problems
Introduction
Quantum-inspired Bacterial Swarming Optimization
The Performance of the QBSO Algorithm
Conclusion and Future Work
References
Swarm Intelligence in Cloud Environment
Introduction
Related Works
Proposed Approach
Experimental Results
Conclusion
References
Swarm Intelligence Supported e-Remanufacturing
Introduction
SI in e-Remanufacturing
e-Retrieval
e-Reproduction
e-Redistribution
Conclusions
References
Particle Swarm Optimization
Grey-Based Particle Swarm Optimization Algorithm
Introduction
Grey Relational Analysis and Particle Swarm Optimization
Grey Relational Analysis
Particle Swarm Optimization and Its Variants
Grey-Based Particle Swarm Optimization Algorithm
Modified Grey Relational Analysis
Grey-Based PSO Algorithm
Simulation Results
Conclusions
References
Quantum-Behaved Particle Swarm Optimization Algorithm Based on Border Mutation and Chaos for Vehicle Routing Problem
Introduction
A Description of the Vehicle Routing Problem
Quantum-Behaved Particle Swarm Optimization Algorithm
Quantum-Behaved Particle Swarm Optimization Algorithm Based on Border Mutation and Chaos
Chaotic Motion
Boundary Mutation Strategy
Encoding and Decoding
Specific Processes of Algorithm
Simulation and Analysis
Conclusion
Acknowledgments.
References
An Improved MOPSO with a Crowding Distance Based External Archive Maintenance Strategy*
Introduction
Strategy of External Archive Maintenance
General Framework for External Archive Maintenance
External Archive Maintenance Improvement
Analysis of Information Entropy and Multi-objective Particle Swarm Optimization
Analysis of
Information Entropy
Procedure of
Numerical Experiments and Discussion
Experiments Design
Experimental Result and Data Analysis
Conclusions
References
Exponential Inertia Weight for Particle Swarm Optimization
Introduction
Proposed Exponential Inertia Weight,
Parameter Settings
Results and Discussions
Conclusions
References
A Coevolutionary Memetic Particle Swarm Optimizer
Introduction
Coevolutionary Memetic Particle Swarm Optimizer
Coevolutionary Meme
Tabu Vector and Reinitialization Operation
The CMPSO Algorithm
Experimental Results
Conclusion
References
Handling Multi-optimization with Gender-Hierarchy Based Particle Swarm Optimizer
Introduction
BasicConcepts
A Brief Description of Particle Swarm Optimization
Description of the Proposed Approach
Gender-Hierarchy Based PSO
Gender-Hierarchy Based PSO for Multi-objective Optimization
Experiments and Discussions
Experimental Settings
Performance Metrics
Experimental Results
Conclusions
References
The Comparative Study of Different Number of Particles in Clustering Based on Two-Layer Particle Swarm Optimization
Introduction
TLPSO and the Benchmark Function
Algorithms and Classification
Basic Process of the Updated Algorithms Idea
Computation Cost Analysis among the Fourteen Configurations of the Number of Particles in Clustering
Detailed Classification and Main Work
Experiments
Conclusion
References
Improved Particle Swarm Optimization with Wavelet-Based Mutation Operation
Introduction
The Particle Swarm Optimization Algorithm
The PSO with Wavelet-Based Mutation Operation and Its Improvement
Numerical Experiments
Benchmark Test Functions
Simulation Results and Analysis
Basic Concept of Synthesis
Example of Synthesis
Conclusion
References
Elastic Boundary for Particle Swarm Optimization
Introduction
Stagnation Phenomena in 2007-sPSO Algorithm
The Proposed EBPSO Algorithm
Experiment Evaluation
Experiment Setup
Experimental Results
Conclusion and Future Work
References
Applications of PSO Algorithms
Optimization Locations of Wind Turbines with the Particle Swarm Optimization
Introduction
Mathematical Formulation
Load Flow Model with Equivalent Current Injection
The Proposed Methodology
Case Study
Conclusion
References
A PSO-Based Algorithm for Load Balancing in Virtual Machines of Cloud Computing Environment
Introduction
Problem Description and Task Scheduling Model
Task Model
Objective Model
Optimization Algorithm Description
Fitness Function
Define the Positions and Velocities of Particles
Self-adapting Inertia Weight and Updating Positions and Velocities
Experimental Results and Analysis
Conclusions
References
Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm
Introduction
ANFIS Modeling
Overview of ANFIS Architecture
Hybrid Learning Algorithm
The PSO and the QPSO
Particle Swarm Optimization
Quantum-Behaved Particle Swarm Optimization
ANFIS Parameter Learning by QPSO
Simulations
Conclusion
References
Research on Improved Model of Loans Portfolio Optimization Based on Adaptive Particle Swarm Optimization Algorithm
Introduction
Decision-Making Principle of Loans Portfolio Optimization
A New Decision-Making Model of Loans Portfolio Optimization
The Description of Adaptive Particle Swarm Optimization Algorithm
Numerical Test and Analysis
Case
Analysis
Conclusion
References
High-Dimension Optimization Problems Using Specified Particle Swarm Optimization
Introduction
The General Formulae for PSO Algorithm
Sample Examples and Related SPPSO Algorithms
Conclusions
References
Ant Colony Optimization Algorithms
A Novel Simple Candidate Set Method for Symmetric TSP and Its Application in MAX-MIN Ant System
Introduction
Ant Colony Optimization
Ant System
MAX-MIN Ant System (MMAS)
Proposed Method: PV and PVMMAS
A New Simple Candidate Set Criterion
The Maximum Selection Range
Maximum PV Limitation
A New Visibility Information
PVMMAS
Experimental Results and Analysis
Determination of Parameters
Comparison with Other Ant algorithms
Comparison with
Measure Candidate Set Method
Average Convergence Curve
Analysis
Conclusions
References
Parallel Max-Min Ant System Using MapReduce
Introduction
Preliminary Knowledge
MapReduce Overview
Max-Min Ant System (MMAS)
MapReduce Based Parallel Max-Min Ant System
The Analysis of MMAS from Serial to Parallel
MMAS Based on MapReduce
Experiments
Conclusions
References
Parallel Implementation of Ant-Based Clustering Algorithm Based on Hadoop
Introduction
Background
MapReduce
Ant-Based Clustering Algorithm
Parallel Strategy Based on MapReduce
Experiment Results and Analysis
Evaluation
Experiment Results
Conclusion
References
Ant Colony Algorithm for Surgery Scheduling Problem
Introduction
Surgery Scheduling Problem
Ant Colony Algorithm for Surgery Scheduling
Algorithm Description
Resource Selection Rule
The State Transition Rule
Overtime Adjustment
The Pheromone Update Rule
Case Study
Conclusion
References
A Method for Avoiding the Feedback Searching Bias in Ant Colony Optimization
Introduction
Feedback Bias in ACO and the
Cardinality Tree Problem
The Algorithm for Avoiding the Feedback Bias in ACO
Convergence Analyses of the Algorithm BA-ACO
Experimental Results and Analysis
Conclusions
References
Biogeography-Based Optimization Algorithms
Novel Binary Biogeography-Based Optimization Algorithm for the Knapsack Problem
Introduction
Biogeography-Based Optimization Algorithm
Mathematical Model of BBO
Migration Operator
Mutation Operator
Elitism
Binary Biogeography-Based Optimization Algorithm for Knapsack Problem
Migration Operator
Binary Mutation Operator
Greedy Mutation Operator for the Infeasible Solutions
Numerical Experiments
Results
Conclusion
References
Path Planning Based on Voronoi Diagram and Biogeography-Based Optimization
Introduction
Cruise Missile Path Planning Model
Planning Environment Description Based on Voronoi Diagram
Path Description
Constraint Conditions
Cost Function
The Mathematical Model of Cruise Missile Path Planning
Biogeography-Based Optimization
Encoding and Decoding of Suitability Index Vector (SIV)
Biogeography Migration Rate Model
Operation of BBO
Algorithm Description
Simulation
Conclusion
References
Novel Swarm-Based Optimization Algorithms
Unconscious Search - A New Structured Search Algorithm for Solving Continuous Engineering Optimization Problems Based on the Theory of Psychoanalysis
Introduction
Psychoanalysis
Analogy between Optimization Problems and Psychoanalysis
Unconscious Search
Performance Evaluation and Parameter Analysis
Pressure Vessel Design
Other Benchmark Problems
Conclusion
References
Brain Storm Optimization Algorithm with Modified Step-Size and Individual Generation
Introduction
BSO Algorithms
Original Version of BSO Algorithm
New Version of BSO Algorithm
Experimental Results
Benchmark Functions
Results
Analyses and Discussions
Original Step Size
Modified Step-Size
New Individuals' Generation and Selection
Conclusions
References
Group Search Optimizer for Power System Economic Dispatch
Introduction
Group Search Optimizer
The Application of GSO in Economic Dispatch Problems
Problem Formulation
Simulation Results
Application of GSO in Economic Dispatch with FACTS Devices Involved
Problem Formulation
Conclusion
References
An Improved Bean Optimization Algorithm for Solving TSP
Introduction
Introduction of Traveling Salesman Problem
An Improved BOA for Solving TSP
Introduction of Bean Optimization Algorithm
Core Operation of the Improved BOA
Experiment and Analysis
Introduction of TSP Experiment
Parameter Settings of BOA
Experimental Results
Experimental Results Analysis
Conclusions
References
Cloud Droplets Evolutionary Algorithm on Reciprocity Mechanism for Function Optimization
Introduction
Cloud Droplets Variation and Evolutionary Mechanism
Cloud Droplets Variation
Cooperative Evolutionary Mechanism
Cloud Droplets Evolutionary Model on Reciprocity Mechanism
CDER Model for Function Optimization
Conclusion and Outlook
References
A Filter and Fan Based Algorithm for Slab Rehandling Problem in MPA of Steel Industry
Introduction
Problem Description
A Basic Heuristic
A Filter and Fan-Based Algorithm
A Lower Bound of SRP
Computational Experiments
Conclusions
References
Artificial Immune System
An Improved Artificial Immune Recognition System Based on the Average Scatter Matrix Trace Criterion
Introduction
AIRS Algorithm
Normalization and Initialization
ARB Generation
Competition for Resources and Nomination of Candidate Memory Cell
Evolving MC Pool
Classification
Average Scatter Matrix Trace (ASMT) Criterion
Experiments and Discussion
Conclusion
References
A Danger Feature Based Negative Selection Algorithm
Introduction
Danger Feature Based Negative Selection Algorithm
Danger Feature
DFNSA
DFNSA-Based Malware Detection Model
Danger Feature Extraction
Danger Feature Vector
Experiments
Datasets
Experimental Setup
Selection of Parameters
Experimental Results
Discussions
Comparison of Detecting Feature Library
Comparison of Detecting Time
Conclusions
References
Alpha Matting Using Artificial Immune Network
Introduction
Related Work
The Proposed Algorithm for Matting
Artificial Immune Network for Feature Map
Alpha Matte Estimation
Post-Processing
Experimental Results
Conclusions and Future Work
References
Forecasting Mineral Commodity Prices with Multidimensional Grey Metabolism Markov Chain
Introduction
Theories and Methodology
Grey Forecasting Theory and GM(1,1) Model
Markov Chain and Probability Matrix
Prediction Algorithm Description
A Case Study
Analysis and Evaluation
Conclusions
References
Bee Colony Algorithms
A Web-Service for Automated Software Refactoring Using Artificial Bee Colony Optimization
Introduction
The Refactoring Web-Service
Basic Features
Supported Functionalities
Assumptions and Limitations
Application of ABC Search to the Domain
Conclusions
References
An Improved Artificial Bee Colony Algorithm Based on Gaussian Mutation and Chaos Disturbance
Introduction
Basic ABC Algorithm
Improved ABC Algorithm
Gaussian Mutation
Chaos Disturbance
Flow of Improved ABC Algorithm
Function Optimization Experiments
Conclusions
References
An Artificial Bee Colony Algorithm Approach for Routing in VLSI
Introduction
Two Terminals Net Routing (TTNR) Problem of Global Routing in VLSI
Meta-Heuristic Algorithm of Artificial Bee Colony
ABC Algorithm for TTNR (ABC-TTNR)
Modeling in ABC
Processes of ABC-TTNR
Simulation Results
Conclusion
References
Differential Evolution
A Differentiating Evolutionary Computation Approach for the Multidimensional Knapsack Problem
Introduction and Related Work
The DEC Algorithm
Superior Clan and Inferior Clan
Chromosome Bank
Crossover and Mutation
Genetic Modification
Experiments and Results
Conclusion
References
Ensemble of Clearing Differential Evolution for Multi-modal Optimization
Introduction
Differential Evolution and Clearing
Differential Evolution
Clearing and Clearing DE
Ensemble of CLDE
Experiment Preparation
Test Functions and Compared Algorithms
Experimental Setup
Performance Measures
Experiment Results
Success Rate
Number of Optima Found
Comparison with Other Algorithms
Conclusion
References
Memetic Differential Evolution for Vehicle Routing Problem with Time Windows
Introduction
Mathematical Model for VRPTW
Differential Evolution
Memetic Differential Evolution Algorithm
Source-Space and Solution-Space
Generalized Fitness Strategy
Memetic Differential Evolution
Experimental R Results and Comparison
Conclusion
References
Advances in Differential Evolution for Solving Multiobjective Optimization Problems
Introduction
Differential Evolution (DE)
DE for Solving MOPs
Important Variants of DE for Solving MOPs
DE with Adaptive Parameter Control
DE Based on Opposite Operation
Hybrid DE Algorithms
DE Based on Multi-populations
Engineering Applications of DE for Solving MOPs
Future Work with DE for Solving MOPs
Conclusions
References
Fast Mixed Strategy Differential Evolution Using Effective Mutant Vector Pool
Introduction
Fast Mixed DE
Classic DE
Fast Mixed DE Algorithm
Selection of the Mutant Vector
Experiment Studies
Benchmark Functions for Global Optimization
Adaptive Method and the Parameter Setting
Analysis of the Experiment Result
Conclusion
References
Differential Annealing for Global Optimization
Introduction
Simulated Annealing and Differential Evolution
Simulated Annealing
Differential Evolution
Differential Annealing Algorithm
Neighborhood Diameter
Annealing Schedule
Integration with DE
Trace Mechanism
Validation Experiments
Benchmark Functions
Simulation Results
Discussion and Conclusion
References
Genetic Algorithms
The Application of Genetic Algorithm to Intrusion Detection in MP2P Network
Introduction
Related Technology
Frame-Based Intrusion Detection Model
Intrusion Detection Based on Genetic Algorithm
The Choice of Intrusion Detection Algorithm
Improved Genetic Algorithm
Experiment
Results and Analysis
References
Mining the Role-Oriented Process Models Based on Genetic Algorithm
Introduction
BasicConcepts
Role-Activity Diagram Modeling
Diversity Degree of Activity Set
Generation of Role-Oriented Process Model
Role Identification Optimization Based on Genetic Algorithm
Activity Interaction between Participants
Role Identification Optimization
Case Study
Conclusions
References
Image Retrieval Based on GA Integrated Color Vector Quantization and Curvelet Transform
Introduction
Image Feature Extraction by Vector Quantization
Color Vector Quantization
Color Spatial Pattern Codebook Generation and Training
Curvelet Transform and Image Spatial Feature Extraction
The Discrete Curvelet Transform(DCT)
Spatial Feature Extraction through Curvelet Transform
Genetic Algorithm Based Weights Assignment for Image Categories
In-class Distance and Between-class Distance
GA-Based Weights Assignment
Automatic Weight Selection
Experiments and Results
Conclusion
References
Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator
Introduction
Uniform Crossover Operators with Selective Pressure
Self-configuring Genetic Algorithm Based on Operators' Rates
Numerical Experiments with Real World Problems
Conclusions
References
Fitness Function Based on Binding and Recall Rate for Genetic Inductive Logic Programming
Introduction
Fitness Function
Common Fitness Function and Its Weakness
New Fitness Function
Experiment
Date Set
Results
Conclusion
References
Neural Networks and Fuzzy Methods
LMI-Based Lagrange Stability of CGNNs with General Activation Functions and Mixed Delays
Introduction
Model Description and Preliminaries
Main Results
Conclusion
References
Research of Triple Inverted Pendulum Based on Neural Network of Genetic Algorithm
The Model of Triple Inverted Pendulum
The Control Simulation of the Inverted Triple Pendulum
Used Genetic-Neural Network to Realize the Control of the Inverted Triple Pendulum
The Steps of the Genetic Algorithm That Faces to Neural Network
The Neural Network NN Controller of Triple Inverted Pendulum
The Diagram of Training NN Weights with Neural Network of Genetic Algorithm (NNOGA)
Trained the Data Structures of NN Weights with NNOGA
System MATLAB Simulation of NN Control
Conclusion
References
Evolving Neural Network Using Hybrid Genetic Algorithm and Simulated Annealing for Rainfall-Runoff Forecasting
Introduction
Methodology
Genetic Algorithm and Simulated Annealing Algorithm
Evolving Neural Network Using Hybrid GASA
Experimental Results and Discussion
Study Area and Data
Evaluation of Model Performances
Analysis of the Results
Conclusion
References
Multistep Fuzzy Classifier Forming with Cooperative-Competitive Coevolutionary Algorithm
Introduction
Cooperative-Competitive Coevolutionary Algorithm
Multistep Fuzzy Classifier Forming
Test Problems and Numerical Experiments
Conclusions
References
Particle Swarm Optimize Fuzzy Logic Memberships of AC-Drive
Introduction
Modeling and Simulation of Three Phases I.M.
SPWM Inverter Simulation
Particle Swarm Optimization
PSO Implementation Adapts FLC
Simulation Result
Conclusions
References
Hybrid Algorithms
The Application of a Hybrid Algorithm to the Submersible Path-Planning
Introduction
Particle Swarm Optimization Algorithm
Mutation Operator
Gauss Mutation
Cauchy Mutation
HGC-PSO Algorithm and Numerical
HGC-PSO Algorithm
Numerical Examples
Simulation
Modeling
Simulation Results
Conclusion
References
Memetic Three-Dimensional Gabor Feature Extraction for Hyperspectral Imagery
Introduction
Methodology
Three-Dimensional Gabor Wavelet Feature Generation
Memetic Algorithm for 3-D Gabor Feature Optimization
Experimental Results
Conclusion
References
A Simple and Effective Immune Particle Swarm Optimization Algorithm
Introduction
Standard PSO
Immune Operator and IPSO
Immune Operator
Arithmetic Flow of IPSO
Simulations
Experimental Settings
Experimental Results and Discussions
Conclusions
References
A Novel Two-Level Hybrid Algorithm for Multiple Traveling Salesman Problems
Introduction
Hybrid Solving Strategy and Algorithm
Research Gap
Hybrid Solving Strategy
Hybrid Solving Algorithm
Genetic Algorithm in New Strategy
Two-Level Hybrid Solving Algorithm
Experimental Simulation and Analyze
Conclusions
References
Multi-Objective Optimization Algorithms
On the Performance Metrics of Multiobjective Optimization
Introduction
Multiobjective Optimization
Set Based Metrics
Outperformance Relations
Measure
Function
Reference Point Based Metrics
Measure (Hypervolume)
Measure
True Pareto Front/Set Based Metrics
Inverted Generational Distance (IGD)
Hypervolume Difference
Conclusions
References
Brain Storm Optimization Algorithm for Multi-objective Optimization Problems
Introduction
Multi-objective Brain Storm Optimization Algorithm
Clustering Strategy
Generation Process
Mutation Operator
Experiments and Discussions
Conclusions
References
Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Problems
Introduction
Basic Concept of MOP
Standard Particle Swarm Algorithm
Modified Multi-Objective Particle Swarm Optimization Algorithm
Modified Operator
Guide Selection
The Pseudo Code of MMOPSO
Experimental Results
Tests Problems
Performance Measures
Comparison and Discussion
Conclusion
References
A Multi-objective Mapping Strategy for Application Specific Emesh Network-on-Chip (NoC)
Introduction
Related Work
Problem Definition
Architecture
Energy Model
Communication Cost Model
Network Competition Model
Optimization Model
Emesh Based Mapping Algorithm
Experiments and Results
Conclusions and Future Work
References
Binary Nearest Neighbor Classification of Predicting Pareto Dominance in Multi-objective Optimization
Introduction
Outlines of Pareto Optimality
Binary Nearest Neighbor Classification of Pareto Dominance
Prediction Model of Pareto Dominance
Experimental Results
Conclusions
References
Multi-objective Evolutionary Algorithm Based on Layer Strategy
Introduction
Analysis and Improvement of Algorithm
Analysis and Improvement of Crossover Operator
Analysis and Improvement of Parent Individual Choice
Analysis and Improvement of Elitist Preserving Mechanism
Simulation Results
Test Functions and Performance Measures
Experiment Results and Analysis
Conclusions
References
Multi-robot, Swarm-Robot and Multi-agent Systems
Priority Based Multi Robot Task Assignment
Introduction
Gaps in the Existing Literature s
Problem Statement
Methodology
Algorithm
Testing
Results
Discussion
Conclusion and Future Scope
References
A Survey of Swarm Robotics System
Introduction
Research Background
Theoretical Basis and Progress of Physical Research
The Progress of Simulation Platforms
Progress on Distributed Control of Swarm Robotics
The Progress of Research in Swarm Robotics Information Fusion
Progress of Research on Swarm Robotics Communication System
The Simulation Scene of Swarm Robotics
Conclusion
References
Levels of Realism for Cooperative Multi-agent Reinforcement Learning
Introduction
Related Work and Motivation
Background Concepts
Multi-agent Reinforcement Learning
Layered MARL Architecture
Inter-agent Sharing
Problem Statement
Approach
Agents, Environment, and Task
Sharing Methods
Layered MARL Implementation Details
Experimental Setup
Results and Contributions
Conclusions and Future Work
References
Research of Tourism Service System Base on Multi-Agent Negotiation
Introduction
The System Framework Based on the Multi-Agent Negotiation
Agent Structure Model
Negotiation Model MMN(Multi-Agent Multi-issue Negotiation)
Negotiation Process
Negotiation Model
System Instance
Conclusion
References
Distributed Model Predictive Control of the Multi-agent Systems with Communication Distance Constraints
Introduction
Problem Statement
Feasibility and Stability of Distributed MPC
Design of the Local Control Law
Compatibility Constraint for Stability
Feasibility of Distributed MPC
Control Strategy
Numerical Example
Conclusions
References
Research on Human - Robot Collaboration in Rescue Robotics
Introduction
Human-Robot Collaboration
Intelligence Control Architecture
Experiments
Conclusion and Future Work
References
Development of Visual Action Design Environment for Intelligent Toy Robot
Introduction
Data Structure of Action Sequence
Logic Structure
Storage Structure
Algorithm for Automatic Generation of ASF
Operation Rules and Judgment Algorithm
Automatic Generation of ASF
Editor Development and Testing Results
Conclusion and Prospect
References
Author Index

Systemvoraussetzungen

Als PDF speichern Als Link merken