Bio-Inspired Computing -- Theories and Applications

Name: Bio-Inspired Computing -- Theories and Applications | 10th International Conference, BIC-TA 2015 Hefei, China, September 25-28, 2015, Proceedings
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10th International Conference, BIC-TA 2015 Hefei, China, September 25-28, 2015, Proceedings

Maoguo Gong Pan Linqiang Song Tao Ke Tang Xingyi Zhang(Editor)

Springer (Publisher)

Published on 23. December 2015

XVIII, 727 pages

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Content

Intro
Preface
Organization
Contents
PSO Optimized Multipurpose Image Watermarking Using SVD and Chaotic Sequence
1 Introduction
2 Related Work
3 Preliminaries
3.1 Singular Value Decomposition (SVD)
3.2 Chaotic Maps
3.3 Arnold Transform
3.4 Particle Swarm Optimization (PSO)
4 Watermarking Scheme
4.1 Embedding Process
4.2 Extraction Process
4.3 Scaling Factor Optimization Using PSO
5 Results and Discussions
5.1 Attacks on Robust Watermark
5.2 Attacks on Fragile Watermark
6 Conclusion
References
Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid
1 Introduction
2 Cell-Like P System Fuzzy Logic System
2.1 CFPS for Language Fuzzy Model
2.2 Operation Process of CFPS
3 The Application of CFPS in Control of Micro-grid
3.1 CFPS of the Control System for Micro-grid
3.2 Fuzzification of the Inputs in CFPS
3.3 CFPS Model
3.4 Result Analysis of Reasoning
4 Simulation
4.1 Original Micro-grid System
4.2 Micro-grid Using CFPS
4.3 Result Analysis
5 Conclusion
References
Resource Allocation Algorithm Based on Fuzzy Cluster Grouping for Device-to-Device Communication
1 Introduction
2 System Model
3 Channel Resource Allocation
3.1 Fuzzy Cluster Grouping for the D2D Pairs
3.2 The Outage Probability Analysis
3.3 Resource Allocation Algorithm Analysis
4 System Simulation
5 Summary
References
Non-time Synchronization and Localization Based on Seawater Movement
1 Introduction
2 System Model
3 Proposed Method
3.1 Protocol Overview
3.2 Estimate Distance Based on Non-time Synchronization
3.3 Localization
4 Simulation
5 Conclusion
References
Ant Colony Optimization with Different Crossover Schemes for Continuous Optimization
1 Introduction
2 ACO with Crossover Operators for Continuous Optimization
3 Simulation
4 Conclusions
References
Multi-objective Optimal Operation of Cascaded Hydropower Stations Based on MOPSO with Bacteria Quorum Sensing Inspired Turbulence Mechanism
1 Introduction
2 Multi-objective Optimization Model
2.1 Objective Functions
2.2 Constraints
3 BC-MOPSO Algorithm and Its Performance
3.1 BC-MOPSO Algorithm
3.2 Circular Elimination Strategy and Its Application to Selecting Particles for Next Iteration
3.3 Bacteria-quorum-sensing- Behavior Inspired Turbulence Mechanism
3.4 Demonstration of Effectiveness of BC-MOPSO
4 Simulation Results and Analysis
5 Conclusion
References
Versatile Archimedean Tilings Self-Assembled from Combined Symmetric DNA Motifs
1 Introduction
2 Design and Modeling
2.1 The Rational Length of Arms
2.2 Matching Rules of the Sticky-Ends
2.3 The Molar Concentration of Tiles
3 Application and Prospect
4 Conclusion
References
A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model
1 Introduction
2 Differential Evolution
3 Resilient Distributed Datasets (RDD)
3.1 RDD Abstraction
3.2 Programming Model in Spark
3.3 RDD Operations in Spark
4 Parallel DE
4.1 Procedure of PDE
4.2 Inspection of PDE
5 Numerical Experiment
5.1 Benchmark Problems
5.2 Experimental Results
5.3 Discussion of Experimental Results
6 Conclusion
References
MOEA/D for Energy-Aware Scheduling on Heterogeneous Computing Systems
1 Introduction
2 Problem Description
2.1 Definition
2.2 Time Model
2.3 Energy Model
3 Related Work
4 Algorithms Description
4.1 Algorithm Framework
4.2 Multi-parents Crossover Operation
4.3 Mutation
4.4 Evaluation
5 Experimentation
5.1 Test Instance
5.2 Performance Metrics
5.3 Experiments and Result
5.4 Analysis of the Results
6 Conclusions
References
Parameter Identification for Area-Specific Resistance of Direct Methanol Fuel Cell Using Cuckoo Search Algorithm
1 Introduction
2 Cuckoo Search Algorithm
3 Problem Description
3.1 Resistance Model
3.2 Objective Function
4 Algorithmic Comparison
4.1 Algorithmic Setup
4.2 Experimental Evaluation
5 Conclusions
References
SAMD: A System for Abnormal Messages Detection Oriented Microblog Message Stream
1 Introduction
2 Related Work
3 System Overview
4 Methods
4.1 Sliding Time Window
4.2 Two-Level Hash Table
4.3 Abnormal Messages Detection
4.4 Key Users Mining
5 Case Study
6 Conclusions
References
Adaptive Neighborhood Search's DGSO Applied to Travelling Saleman Problem
1 Introduction
2 Knowledge Preparation
3 The Adgso Metaheuristic and Its Application to TSP
3.1 Adaptive Neighborhood Search
3.2 Other Improvements
3.3 ADGSO Algorithm Steps
4 Simulation Results and Comparisons
4.1 Parameter Analysis and Setting
4.2 Comparisons and Analysis
5 Update Tsplib with Adgso Algorithm
5.1 ADGSO Algorithm Compare with TSPLIB
5.2 TSPLIB Update
6 Conclusions
References
Improved Genetic Algorithm to Optimization Pattern in Traffic Network Layout Problem
1 Introduction
2 Traffic Network Layout Problem Based on Distribution Center and Improved Genetic Algorithm
2.1 Traffic Network Layout Problem Based on Distribution Center
2.2 Two Improved Technologies for Traditional Algorithm
2.3 IGA is Applied to Traffic Network Layout Problem
3 Simulation Experiment
3.1 Simulation Experimental Environment Configuration
3.2 Experiment Analysis
4 Conclusion
References
An Algorithm for Finding Non-dominated Set Based on Two-Dimension Sorting
1 Introduction
2 Two Dimensional Sorting Non-dominated Set Construction Algorithm
2.1 Motivation
2.2 Basic Concepts and Terminology
2.3 The Construction Process of TSNS
2.4 The Pseudo-Code of the Algorithm
2.5 The Strategy of Diversity Preservation
2.6 Complexity Analysis
3 Experimental Studies
3.1 Experiment Conditions
3.2 Experimental Results and Analysis
4 Conclusion
References
Cloud Avoidance Scheduling Algorithm for Agile Optical Satellites
1 Introduction
2 Problem Formulation
3 Proposed Algorithm
3.1 Algorithm Framework
3.2 Off-Line Scheduling on the Ground
3.3 Onboard On-line Scheduling
4 Experiments Results
4.1 Design of Experiments
4.2 Result and Analysis
5 Conclusion
References
Design Swapping Encryption System for Video Streaming with Brain Storm Optimization
1 Introduction
2 System and Solution
3 Encryption Scheme and Optimization
3.1 Mathematics Background
3.2 Swapping Encryption Scheme
3.3 Brain Storm Optimization
4 Simulation and Experiments
5 Summary and Future Work
References
An Evolutionary Approach to Generate Rhythm and Melody Based on Repertories
1 Introduction
2 Related Works
2.1 Multi-objective Optimization
2.2 Genetic Algorithm
2.3 Music Background
3 Automatic Melody Composition
3.1 Music Template
3.2 Automatic Rhythm Generation
3.3 Automatic Melody Composition
4 Composition Results
5 Conclusion
References
Parallel Implementation of P Systems for Data Clustering on GPU
1 Introduction
2 Preliminary
2.1 Membrane Computing-Inspired Clustering Algorithms
2.2 GPU
3 Parallel Implementation of PSO-MC on GPU
3.1 CPU Realization
3.2 GPU Realization
4 Experiment Results and Analysis
5 Conclusion
References
A New BN Structure Learning Mechanism Based on Decomposability of Scoring Functions
1 Introduction
2 Preliminaries
2.1 Bayesian Network
2.2 Binary Particle Swarm Optimization
3 The Initial Network Construction Method Based on MIC
4 BPSO Algorithm Based on Decomposability of Scoring Function
4.1 The Decomposability of Scoring Functions
4.2 The New Updating Mechanism of Personal Best Particle
4.3 The New Updating Mechanism of Global Best Particle
5 MIC-BPSO Algorithm
6 Experimental Evaluation
7 Conclusion
References
A Half-Subtracter Calculation Model Based on Stand Displacement Technology
1 Introduction
2 Design and Construction of Half-Subtracter Model
2.1 Materials and Analysis
2.2 Principle of the Proposed Method
3 Result and Discussion
4 Conclusions
References
Identification of Remote Sensing Image of Adverse Geological Body Based on Classification
1 Introduction
2 Brief Introduction of Extreme Learning Machine
2.1 Single Layer Feedforward Neural Network of Random Hidden Nodes
2.2 Principle of Extreme Learning Machine
2.3 Inverse Matrix
3 Classification of Adverse Geologic Body Image Based on Limit Learning
3.1 Adverse Geologic Body and Remote Sensing Image Processing
3.2 Classification Algorithm and Evaluation Based on ELM
4 Experimental Results and Analysis
5 Conclusions
References
The Study on Dynamic Conditional Correlation-GARCH Model and its Application
1 Introduction
2 Model Specification
3 Model Application
4 Main Results
5 Conclusion
References
Protein Function Prediction Using Multi-label Learning and ISOMAP Embedding
1 Introduction
2 Embedding the Protein-Protein Interaction Network into Low-Dimension
3 Predicting Protein Functions with Multi-label Learning
4 Experiments and Results
4.1 Data Sets
4.2 Evaluation Metrics
4.3 Experimental Results
5 Conclusions
References
Logic Gates Based on Circular DNA Strand Displacement and a Fluorescent Agent
1 Introduction
2 Materials and Methods
2.1 Logic Calculation Models
2.2 And Logic Gate and or Logic Gate
2.3 Fluorescent Agents and DNA Strand Displacement
3 Results
3.1 Circularization of Strand T
3.2 OR Logic Gate with DNA Circle
3.3 And Logic Gate with a Product-Supermolecule Assembly
4 Discussion
References
Hybrid Ejection Chain Methods for the Traveling Salesman Problem
1 Introduction
2 Investigated Algorithms
2.1 ECMs
2.2 Fundamental S&C Approaches
2.3 LK Heuristics
2.4 MNS
2.5 MAs
2.6 Memetic ACO
3 Experiments and Results
3.1 Experimentation with Anytime Algorithms
3.2 Experimental Setup
3.3 Pure Algorithm Performance
3.4 Hybrid Algorithm Performance
4 Conclusions and Future Work
References
Remote Sensing Image Fusion Based on Shearlet and Genetic Algorithm
1 Introduction
2 Shearlet
3 Genetic Algorithm
4 Image Fusion Method Based on Shearlet and Genetic Algorithm
4.1 Evaluation Criteria
4.2 Image Fusion Algorithm
5 Experiments and Analysis
6 Conclusion
References
Direct Torque Control of PMSM with Torque Ripple Reduction Based on Fuzzy Logic Control
1 Introduction
2 The Principle of PMSM DTC
3 The Analysis of Torque Ripple
4 Fuzzy Control of PMSM DTC
4.1 Fuzzy Controller Designer of Vector Selection
4.2 Fuzzy Controller Designer of Duty Ratio
5 Simulation Results
6 Conclusion
References
A Uniform Solution for Vertex Cover Problem by Using Time-Free Tissue P Systems
1 Introduction
2 Tissue P Systems with Cell Division
3 Timed Tissue P Systems with Cell Division
3.1 A Timed Recognizer Tissue P System
4 An Uniform Solution for Vertex Cover Problem
5 Informal Verification
6 Conclusion
References
A Multi-objective Simulated Annealing for Bus Driver Rostering
1 Introduction
2 The Bus Driver Rostering Problem
3 A Multi-objective Simulated Annealing Approach for Bus Driver Rostering
3.1 A Heuristic for Constructing an Initial Solution
3.2 A SA-Based Feasibility Repairing Algorithm
3.3 A SA-based Non-dominated Solutions Generating Algorithm
4 Computational Results
4.1 Results of the MOSA Approach
4.2 Discussion and Analysis
5 Conclusions
References
Generating Diophantine Sets by Virus Machines
1 Introduction
2 Virus Machines
3 The Universality of Non-Restricted Virus Machines
3.1 Generating Diophantine Sets by Virus Machines
3.2 Modules
3.3 Generation of a Diophantine Set
3.4 Main Result
4 Conclusions and Future Work
References
A Verified Algorithm for the Centrosymmetric Solution of Sylvester Matrix Equations
1 Introduction
2 Notation and Preliminaries
3 Main Results
4 Numerical Experiments
References
Maximal Synchronization of Feeder Buses to Metro Using Particle Swarm Optimization
1 Introduction
2 Definition of Synchronization
2.1 Synchronization at a Transfer Point
2.2 Synchronization Considering Walking Time
3 Formulation of Maximal Synchronization Problem
4 Particle Swarm Optimization for Maximal Synchronization Problem
4.1 Representation of a Particle
4.2 Location and Velocity of a Particle
4.3 Enhancement of PSO by Using Backup Library
4.4 Framework of the Maximal Synchronization Approach Based on PSO
5 Computational Results
5.1 Experiments on Algorithm Verification
5.2 A Case Study
6 Conclusions
References
A Fast Differential Evolution for Constrained Optimization Problems in Engineering Design
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Framework of FDE
3.2 Mutation Operator
3.3 Crossover Operator
3.4 Selection Operator
4 Experimental Setup
4.1 Benchmark Instances
4.2 Parameter Settings
4.3 General Performance of FDE
4.4 Convergence Graph
5 Comparisons with Some Other State-of-the-art Approaches
5.1 Comparison with Other Algorithms on Welded Beam Design
5.2 Comparison with Other Algorithms on Spring Design
5.3 Comparison with Other Algorithms on Speed Reducer Design
5.4 Comparison with Other Algorithms on Three-Bar Truss Design
5.5 Comparison with Other Algorithms on Himmelblaus Nonlinear Optimization Problem
6 Discussion
6.1 Effect of ``DE/current-to-ppbest/1'' Mutation Strategy
6.2 Effect of Ranking Based Selection Model
7 Conclusion and Future Work
References
A Picture Array Generating Model Based on Flat Splicing Operation
1 Introduction
2 Preliminaries
3 Array Flat Splicing Systems
4 Conclusion and Discussion
References
Connections of Multi Memristors
1 Introduction
2 Model of the HP Memristor
3 Multi Memristors in Series Connection
4 Multi Memristors in Parallel Connection
5 Conclusion
References
Self-adaptive Multiple Evolution Algorithms for Image Segmentation Using Multilevel Thresholding
1 Introduction
2 Self-adaptive Multiple Evolution Algorithms
2.1 Sub-populations and Multiple Evolution Algorithms
2.2 Self-adaptive Mechanism and Information Exchange Mechanism
2.3 Framework of Multiple Evolution Algorithms
2.4 Benchmark Test
3 Multilevel Threshold for Image Segmentation
3.1 Image Segmentation Based on Between-Class Variance
3.2 Experiment Setup
3.3 Experimental Results of Multilevel Threshold
4 Conclusion
References
Clustering Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Dynamic Optimization Problems
1 Introduction
2 Quantum-Behaved Particle Swarm Optimization
3 The Clustering Quantum-Behaved Particle Swarm Optimization
3.1 The Hierarchical Clustering Method
3.2 Detecting Environmental Changes
3.3 Keeping the Diversity
4 Experimental Results
4.1 Moving Peaks Benchmark (MPB) Problem
4.2 Parameter Settings
4.3 Results
5 Conclusions
References
Analogical China Map Self-assembled from Single-Stranded DNA Tiles
1 Introduction
2 Materials and Methods
2.1 Single-Stranded DNA Tile
2.2 Design of DNA Sequences
2.3 Experimental Procedures
3 Results
4 Discussion
References
Bio-inspired Algorithms Applied in Multi-objective Vehicle Routing Problem: Frameworks and Applications
1 Introduction
2 Definition
2.1 Problem Description
2.2 General Optimization Objectives
2.3 Multi-objective Optimization Technologies
2.4 Important Subproblems
3 Heuristics for MOVRP
3.1 Genetic Algorithm
3.2 Particle Swarm Optimization
3.3 Ant Colony Optimization
4 Important Practical Applications
4.1 Green Vehicle Routing
4.2 Supply Chain Design
4.3 School Bus Routing
5 Conclusion
References
A DNA Code Converter Model for Decimal Numbers Displaying
1 Introduction
2 Seesaw Motif of Four-Input Or and AND Gates
3 Logic Circuit of the Code Converter
4 Simulation with Visual DSD
5 Conclusion
References
The Design of Digital Circuit Based on DNA Strand Displacement Reaction
1 Introduction
2 Build of Basic Logic Gate
3 Construction of the Logic Circuits
4 Simulation with Visual DSD
5 Conclusion
References
The Design of Voting Device Based on DNA Strand Displacement Reaction
1 Introduction
2 DNA Strand Displacement
3 Logic Circuit of 4-people Voting Device
3.1 Digital Logic Circuit
3.2 Dual-Rail Logic Circuit
3.3 Seesaw Cascade Circuit
4 Simulation with Visual DSD
5 Conclusion
References
Improved Niche Genetic Algorithm for Protein Structure Prediction
1 Introduction
2 Related Work
2.1 The AB Off-Lattice Model
2.2 Basics of NGA
2.3 Improved NGA
3 To Implement Algorithm
4 Experimental Results and Discussion
4.1 The Fibonacci Sequence
4.2 The Real Protein Sequences
5 Conclusion
References
Optimization of BeiDou Receiver Front-End for High Dynamic Pseudolite Signals
1 Introduction
2 The Extended Front-End Model
3 Optimization of the Front-End
3.1 SNR Loss After LPN
3.2 SNR Loss After ADC
3.3 Signal Loss After Blanker
4 Simulation Results
4.1 Simulation Settings
4.2 Performance Improvement
4.3 Duty Cycle Consideration
5 Conclusion
References
Approximation Performance of the (1+1) Evolutionary Algorithm for the Minimum Degree Spanning Tree Problem
1 Introduction
2 The MDST Problem and Algorithms
3 The Approximation Performance Guarantee of the (1+1) EA for the MDST Problem
4 Conclusion
References
A Stochastic Local Search Heuristic for the Multidimensional Multiple-choice Knapsack Problem
1 Introduction
2 Stochastic Local Search for MMKP
2.1 Weights for Dimensions
2.2 Initialize the Candidate Solution
2.3 Perturbing the Candidate Solution
2.4 Destructive Phrase
2.5 Algorithm in Detail
3 Experimental Results
3.1 Problem Instances
3.2 Solutions from SLS_MMKP
4 Conclusion
References
An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem
1 Introduction
2 Related Work
2.1 Related Work on Experimentation
2.2 Related Work on the Traveling Salesman Problem
3 Investigated Algorithms
3.1 Tabu Search
3.2 The Lin-Kernighan Algorithm
3.3 Multi-neighborhood Search
3.4 Evolutionary Algorithms
3.5 Ant Colony Optimization
4 Experiments and Results
4.1 Experimental Setup
4.2 Pure Algorithm Performance
4.3 Hybrid Algorithm Performance
5 Conclusions and Future Work
References
A Sorting Based Selection for Evolutionary Multiobjective Optimization
1 Introduction
2 Motivation
3 Sorting-Based-Selection
3.1 Convergence Based Sorting
3.2 Association
3.3 Diversity Based Selection
3.4 Termination
3.5 Computational Cost of the SBS
4 Algorithm
5 Experimental Studies
5.1 Experimental Setting
5.2 Comparisons with Classical MOEAs
5.3 Comparison with MOEA/D-STM
6 Conclusion
References
An Improved Genetic Algorithm for Bi-objective Problem: Locating Mixing Station
1 Introduction
2 Problem Definitions and Formulation
2.1 Problem Analysis
2.2 Symbol Description
2.3 Modeling
3 The Improved Genetic Algorithm
3.1 Encoding
3.2 Initialization for the Population
3.3 Selection
3.4 Crossover
3.5 Mutation
3.6 Local Search
4 Experimental Analysis
4.1 Parameter Setting
4.2 Simulation
5 Conclusion
References
Recognition of Spam Microblog for TV Program Evaluation Under Mircoblog Platform
1 Introduction
2 The Classification of Spam Microblog of Program Comments
3 Detection Method of Spam Microblog
3.1 The Filtering Method Based on Rules and Pattern Matching
3.2 Spam Microblog Recognition Based on Text Polarity Analysis
3.3 Detection Method Based on Machine Learning and Pattern Matching
4 Experiment and Result Analysis
4.1 Evaluation Index of Classification Method
4.2 The Experiment Results Analysis
5 Conclusion
References
An Algorithm Simulated Sticker Model for MIS
1 Introduction
2 Simulating Sticker Model
2.1 Simulating Memory Strand
2.2 Simulating Biochemistry Experiment
3 Algorithm Design of MIS
3.1 Analysis of Detecting Operation of Simulated Sticker Model
3.2 Order of Detecting Vertex Problem
3.3 Simplifying Tube Matrix Problem
4 Algorithm Simulated Sticker Model
4.1 Algorithm Simulated Sticker Model
4.2 Simulation Experiment
5 Conclusion
References
A NSGA-II with ADMM Mutation for Solving Multi-objective Robust PCA Problem
1 Introduction
2 NSGA-II and Performance Measurements
2.1 NSGA-II
2.2 Performance Metrics
3 Solving Relaxed MRPCA with Standard NSGA-II
3.1 General Parameter Settings
3.2 Numerical Results
3.3 Curse of Dimensionality
4 Solving Relaxed MRPCA with Modified NSGA-II
4.1 NSGA-II with ADMM Mutation
4.2 Numerical Results
5 Conclusion
References
Negative Selection Algorithm Based Unknown Malware Detection Model
1 Introduction
2 Model Theory
2.1 Constructing Self Space
2.2 Online Adaptive Learning Mechanism
3 Model Simulations
3.1 Antibody Gene
3.2 Antigen Presenting
3.3 Self Elements
3.4 Detectors
3.5 Immune Surveillance
4 Conclusion
References
Tensorial Biometric Signal Recognition Based on Feed Forward Neural Networks with Random Weights
1 Introduction
2 Notations and Related Works
2.1 Tensor Fundamentals
2.2 A Brief Review of NNRW
2.3 A Brief Review of 2D-NNRW
3 The Proposed Method
4 Performance Evaluation
4.1 Databases
4.2 Experiments on the Face Databass
4.3 Experiments on the Gait Database
5 Conclusions
References
Application of DNA Self-assembly for Maximum Matching Problem
1 Introduction
2 Definition of the Maximum Matching Problem
3 Models for Algorithmic Self-assembly
4 Solving the Maximum Matching Problem Based on DNA Tile Self-assembly
4.1 Seed Configuration System
4.2 Nondeterministic Matching System
4.3 Verification System
4.4 Output System
4.5 Example
4.6 Complexity Analysis
5 Conclusion
References
A Multiobjective Evolutionary Algorithm Based on Decomposition and Preselection
1 Introduction
2 MOEA/D with Classification Based Preselection
2.1 Basic Idea
2.2 Classifier Training
2.3 Offspring Reproduction
2.4 MOEA/D-CPS Framework
3 Experimental Study
3.1 Experimental Settings
3.2 Performance Metrics
3.3 Experimental Results
4 Conclusion
References
Discrete Particle Swarm Optimization Algorithm for Solving Graph Coloring Problem
1 Introduction
2 Graph Coloring Problem
3 Discrete PSO for Graph Coloring Problem
3.1 Particles Positions and State Space
3.2 Fitness Function
3.3 Velocity Vectors
3.4 Subtraction Between Position and Position
3.5 External Multiplication Between Real Number and Velocity
3.6 Addition Between Velocity and Velocity
3.7 Move by Position Plus Velocity
3.8 Algorithm Flowchart
4 Results and Discussion
5 Conclusions
References
Parallel Hybrid Genetic Algorithm for Maximum Clique Problem on OpenCL
1 Introduction
2 Parallel Hybrid Genetic Algorithm for MCP
2.1 Maximum Clique Problem
2.2 Fitness Function
2.3 Initialization
2.4 Extraction and Extension
2.5 Selection
2.6 Crossover
2.7 Mutation
2.8 Replacement
2.9 Algorithm Flowchart
2.10 Parallel Algorithm on OpenCL
3 Result and Discussion
4 Conclusions
References
A Two-Phase External Archive Guided Multiobjective Evolutionary Algorithm for the Software Next Release Problem
1 Introduction
2 Backgrounds and Motivations
2.1 Multiobjective Optimization Problem
2.2 Motivation
3 2EAG-MOEA/D
4 Experimental Studies
4.1 Test Problems
4.2 Performance Metrics
4.3 Experimental Setups
4.4 Experimental Results
5 Conclusion
References
Controllable DNA Nano-Tweezer Technique Based on the Combinatorial Strand Displacement
1 Introduction
2 Design and Modeling
3 Construction of the Logic Circuit
4 Conclusion
References
Chaos Multi-objective Particle Swarm Optimization Based on Efficient Non-dominated Sorting
1 Introduction
2 Analysis of Existing Methods
2.1 Multiple Objective Particle Swarm Optimization
2.2 Efficient Non-dominated Sort
3 CMOPSO Using ENS Framework
4 Simulation Results
5 Conclusion
References
Three-Class Change Detection in Synthetic Aperture Radar Images Based on Deep Belief Network
1 Introduction
2 Methodology
2.1 Introduction to Three-Class Change Detection
2.2 Pre-processing and Sample Selection
2.3 A Deep Belief Network for Three-Class Change Detection
3 Experimental Study
3.1 Data Sets and Evaluation Criteria
3.2 Experimental Results
4 Conclusions
References
An Agglomerate Chameleon Algorithm Based on the Tissue-Like P System
1 Introduction
2 The Agglomerate Chameleon Algorithm
2.1 Original Chameleon Algorithm
2.2 The Agglomerate Chameleon Algorithm
2.3 An Example
3 Rules
3.1 Tissue-Like P System
3.2 Rules of Agglomerate Chameleon Algorithm Based on the Tissue-Like P System
4 Computations and Complexity
4.1 Computations
4.2 Complexity Analysis
5 Experiments and Analysis
5.1 Illustrative Experiment
5.2 Applied Numerical Experiment
5.3 Sensitivity Analysis
6 Conclusions
References
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Bio-Inspired Computing -- Theories and Applications

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