Bio-inspired Computing: Theories And Applications: 14th International Conference, Bic-ta 2019, Zhengzhou, China, November 22–25, 2019, Revised ... In Computer And Information Science (1160))

This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019. The 122 full papers presented in both volumes were selected from 197 submissions. The papers in the two volumes are organized according to the topical headings: evolutionary computation and swarm intelligence; ​bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence. Preface Organization Contents – Part II Contents – Part I Bioinformatics and Systems Biology Correlated Protein Function Prediction with Robust Feature Selection 1 Introduction 2 Problem Formalization and Notations 3 Methodology 3.1 Network Embedding 3.2 Multi-label Learning with Feature Selection 3.3 Function Correlation 3.4 Correlated Annotation with robust Feature Selection (CAFES) 3.5 Predicting Functions of Unannotated Proteins 4 Optimization 5 Experiments and Results 5.1 Materials and Data Sets 5.2 Results of Iteration. 5.3 Embedding and Low Representation for PPI Network 5.4 Comparison and Evaluation for Different Multi-label Approaches 6 Conclusions References Using of Processed Data to Design Genetic Circuits in GenoCAD Abstract 1 Introduction 2 Materials and Methods 2.1 Category 2.2 Rules 2.3 Part Library 2.4 Biological Logic Gate 3 Result 4 Discussion Acknowledgment References Identifying Disease Modules Based on Connectivity and Semantic Similarities 1 Introduction 2 The Proposed IDMCSS Method 2.1 The Connective Similarity and Semantic Similarity 2.2 Adding and Removing Strategies 2.3 The Proposed IDMCSS 3 Experimental Results 3.1 Datasets 3.2 Compared Algorithms 3.3 Experiment Results 4 Conclusion and Future Work References Complex Networks Adaptive Synchronization of Nonlinear Complex Dynamical Networks with Time-Delays and Sampled-Data 1 Introduction 2 Model and Preliminaries 3 Main Results 4 Simulations 5 Conclusion References Controllability of Some Special Topologies with Time-Delays 1 Introduction 2 Problem Formulation and Preliminaries 3 Main Results 4 Some Special Topologies 5 Conclusion References Controllability of Second-Order Discrete-Time Multi-agent Systems with Switching Topology 1 Introduction 2 Problem Formulation and Preliminaries 3 Mainly Result 4 Example and Simulation 5 Conclusion References DNA and Molecular Computing Probe Machine Based Computing Model for Solving Satisfiability Problem 1 Introduction 2 Materials and Methods 2.1 Satisfiability Problem and Related Work 2.2 PM-Based Computing Model 3 Results and Discussion 4 Conclusions References Base Conversion Model Based on DNA Strand Displacement 1 Introduction 2 Methodology 2.1 DNA Strand Displacement and DNA Origami 2.2 Calculation Model 2.3 Inspection Strand the Process of Generating a Hairpin Structure 3 Conclusion References Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner's Dilemma with Move Option 1 Introduction 2 Model: A Spatial Prisoners Dilemma (SPD) with Move Option 2.1 Rule 3 Simulation Results Analysis 4 Conclusion 5 Appendix References Exploring Computation Tree Logic with Past-Time Operator Model Checking Using DNA Computing 1 Introduction 2 Background 2.1 CTL with Past-Time Operators and Model Checking 2.2 The Sticker Automaton and Its Principle 3 The Proposed Method 3.1 Data Preprocessing 3.2 Computation 3.3 Detection 4 Simulations 4.1 The Design and Evaluation of DNA Sequences 4.2 Verification 5 Conclusions References Review on DNA Cryptography 1 Introduction 2 DNA Computing and Traditional Cryptanalysis 2.1 DNA Computing 2.2 Traditional Cryptanalysis Based on the DNA Computing 3 Information Encryption and Decryption Based on DNA Molecules 3.1 DNA Encryption and Decryption of the One-Time Pad 3.2 DNA Cryptosystem Based on the Nanotechnology 3.3 DNA Hiding and Authentication 3.4 A Cryptographic Method Based on the Pseudo-DNA Computing 4 Conclusions and Prospects References Design of a Four-Person Voter Circuit Based on Memristor Logic 1 Introduction 2 A Mathematical Model of Memristor and Basic Logic Gate 3 Full Adder and Comparator Circuits 4 Design of the Four-Person Voter Circuit 4.1 Design of the Counter Circuit 4.2 Design of the Resolution Circuit 4.3 Complete Circuit of the Four-Person Voter 4.4 Simulation Results 5 Conclusion References Building of Chemical Reaction Modules and Design of Chaotic Oscillatory System Based on DNA Strand Displacement 1 Introduction 2 Modules Construction 3 Chaotic Oscillatory System and Its Dynamic Analysis 3.1 Chaotic Oscillatory System 3.2 Dynamic Analysis 4 Conclusions References Reference Point Based Multi-objective Evolutionary Algorithm for DNA Sequence Design 1 Introduction 2 Problem Formulation 2.1 Similarity Criterion 2.2 H-Measure Criterion 2.3 Continuity Criterion 2.4 Hairpin Structure Criterion 2.5 GC Content Criterion 2.6 Melting Temperature Criterion 3 Problem Formulation 4 Result and Discussion 5 Conclusion References Research on DNA Cryptosystem Based on DNA Computing Abstract 1 Introduction 2 DNA Cryptography 2.1 DNA Cryptography Based on DNA Molecule 2.2 Pseudo DNA Cryptography 3 Performance Analysis 4 Security Analysis 5 Prospect 6 Conclusion References Performing DNA Strand Displacement with DNA Polymerase 1 Introduction 2 Results and Discussion 3 Materials and Method 4 Conclusion References The Design of Logic Gate Based on Triplex Structures 1 Introduction 2 Experimental 2.1 Material 2.2 Method 3 Results and Discussion 4 Conclusion References Research on the Application of DNA Cryptography in Electronic Bidding System 1 Introduction 2 Design of Bidding System Model 3 Selection of Encryption Methods 4 Security Analysis 5 Conclusion References Neural Networks and Artificial Intelligence Optimal-Operation Model and Optimization Method for Hybrid Energy System on Large Ship 1 Introduction 2 Related Works 3 Optimal-Operation Model of Maritime HES 3.1 Electricity Cost Model of HES 3.2 Penalty Functions of the Optimal-Operation Model 3.3 HES Optimal-Operation Model and the Optimization Algorithm 4 Simulation Results and Analysis 4.1 Parameters Settings 4.2 Experimental Results and Analysis 5 Conclusion References Dual-Graph Regularized Sparse Low-Rank Matrix Recovery for Tag Refinement 1 Introduction 2 Related Works 3 Methodology 3.1 Sparse Low-Rank Matrix Recovery 3.2 Dual-Graph Regularization 3.3 Objective Function 4 Optimization 4.1 Solving the Subproblems 4.2 Updating Parameters 5 Experiments 5.1 DataSet 5.2 Experiment Settings 5.3 Tag Refinement Result 6 Conclusion and Future Work References Optimal Quasi-PR Control of Grid-Connected Inverter with Selective Harmonic Compensation 1 Introduction 2 Grid-Connected Inverter Principle and Mathematical Model of Control System 2.1 PR Control 2.2 Control System Design 3 Adaptive Current Harmonic Control Strategy 3.1 Quasi-PR Control of Selective Harmonic Compensation 3.2 Self-adaptive Harmonic Compensation Adjustment 4 Simulations 4.1 Simulation Results When the Load Changes 5 Conclusion References Recognition Method of Mature Strawberry Based on Improved SSD Deep Convolution Neural Network Abstract 1 Introduction 2 Test Data 2.1 Image Acquisition 2.2 Sample Data Set 2.3 Image Annotation 2.4 Data Set Preparation 3 Construction of Deep Convolution Neural Network 3.1 SSD Network Framework 3.2 MobileNet_SSD Algorithm 3.3 MobileNet_SSD Network Model 3.4 Model Fine-Tuning 4 Test Results and Analysis 4.1 Test Platform 4.2 Training Parameter Setting 4.3 Network Model Training 4.4 Result Analysis 5 Conclusion Acknowledegments References Analysis of Switching Network Based on Fourth-Order Chua's Circuit with a Memristor 1 Introduction 2 The Characteristic of Memristor 3 Fourth-Order Chua's Circuit Based on a Memristor 4 Illustrative Examples 5 Conclusions References Software Design of Online Monitoring System of Large Linear Vibrating Screen Fault Diagnosis Abstract 1 Introduction 2 System Hardware Composition 3 System Software Design Idea 3.1 Data Acquisition and Storage Modules 3.2 Data Analysis Module 3.3 Communication Module 3.4 User Management Module 3.5 Data Display Module 4 Design and Implementation of Computer Monitoring Software 4.1 PC Software Programming Flow 4.2 Data Tables Relationship Analysis 4.3 Design of Main Function Modules of Upper Computer 4.4 Implementation of Online Monitoring Interface 5 Conclusions References Research and Design of Lubrication System Based on J1939 Protocol 1 Introduction 2 Fractional Fourier Transform 2.1 Fractional Fourier Transform Algorithm 2.2 Fractional Order Domain Detection Principle 3 System Design 3.1 CAN Transceiver Circuit Design 3.2 Automatic Transmission Program Design Based on J1939 Protocol CAN Bus 3.3 OLED Interface Display Design 4 CAN Signal Test Analysis 4.1 Lubrication System and Automobile System CAN Signal Detection 4.2 CAN Signal Test and Analysis of Lubrication System Connected to Internal Ssystem of Automobile 5 Conclusion References Scheduling Optimization of Vehicles Considering Customer Rank and Delivery Time Demand 1 Introduction 2 Problem Description and Modeling 2.1 Problem Description 2.2 Model Assumptions 2.3 Notation 2.4 Problem Modeling 3 Improved Artificial Fish Swarm Algorithm (IAFS) 3.1 Basic Principle of AFS 3.2 Fundamental Behaviors of AFS 3.3 Improvements to AFS 4 Convergence Analysis of IAFS 5 Experimental Results and Analysis 5.1 Analysis of Parameters Influence on the IAFS 5.2 Compared with Other Evolutionary Algorithms 6 Conclusions References Classification of Tongue Color Based on Convolution Neural Network 1 Introduction 2 The Structure of CNN for Tongue Color Recognition 2.1 Network Model of CNN 2.2 Local Connection and Weight Sharing 3 Pretreatment of Tongue Image 3.1 Data Acquisition 3.2 Tongue Segmentation 3.3 Data Augmentation 4 The Results and Analysis of the Experiment 4.1 Data Set 4.2 Training of Network Model 4.3 Result Analysis 5 Conclusion References Multiple Classifiers Combination Hyperspectral Classification Method Based on C5.0 Decision Tree Abstract 1 Instruction 2 Research Method 2.1 SVM Algorithm 2.2 Maximum Likelihood Classification Algorithm 2.3 C5.0 Decision Tree Algorithm 2.4 Algorithm 3 Experimental Results 4 Conclusion References Risk Prediction of Esophageal Cancer Using SOM Clustering, SVM and GA-SVM 1 Introduction 2 Data Analysis and Processing of Blood Factors 2.1 SOM Cluster Analysis 2.2 COX Regression Analysis 2.3 ROC Curve Analysis 3 Risk Level Prediction 3.1 Support Vector Machine 3.2 SVM Kernel Function Selection 3.3 Support Vector Machine Classification Steps 3.4 Support Vector Machine Prediction Results 3.5 Genetic Algorithm-Optimized Support Vectors Machines 3.6 BP Neural Network 3.7 Comparison of Prediction Algorithms 4 Conclusion References Physical Constitution Discrimination Based on Pulse Characteristics 1 Introduction 2 Prepare Work 2.1 Data Acquisition 2.2 Pulse Wave Analysis 3 Constitution Analysis Based on Pulse Wave 3.1 Pulse Processing 3.2 Extraction of Time Domain Features 3.3 Support Vector Machine (SVM) 4 Experimental Result and Discussion 5 Conclusion and Recommendations References Research on Emotional Classification of EEG Based on Convolutional Neural Network 1 Introduction 2 CNN Model 3 Acquisition and Preprocessing of EEG Signals 4 EEG Signal Feature Extraction 5 Experimental Results and Analysis 5.1 WT-SVM 5.2 WT-CNN 6 Conclusion References Heterogeneous Kernel Based Convolutional Neural Network for Face Liveness Detection Abstract 1 Introduction 2 Related Work 2.1 Convolutional Layer 2.2 Pooling Layer 2.3 Activation Layer 2.4 Fully Connected Layer 3 The HK-CNN for Face Liveness Detection 3.1 Heterogeneous Convolutional Kernel 3.2 Heterogeneous Convolutional Neural Network 4 Experimental Results and Analysis 5 Conclusion Acknowledgements References Cell-like Spiking Neural P Systems with Anti-spikes and Membrane Division/Dissolution 1 Introduction 2 Cell-like SN P Systems with Anti-spikes and Membrane Division/Dissolution 3 Universality of cSNaDD P Systems 4 Conclusions and Remarks References Research on EEG Emotional Recognition Based on LSTM 1 Introduction 2 Related Work 3 LSTM-Based Classification Model 4 Specific Implementation and Results 4.1 Data Set on Experiment 4.2 Features Extraction About EEG 4.3 Analysis of Results 5 Conclusion and Prospect References Research on Two-Stage Path Planning Algorithms for Storage Multi-AGV Abstract 1 Introduction 2 Problem Description 2.1 Environmental Map 2.2 Objective Function 3 Two-Stage Coordinated Collision Avoidance Algorithm for Multi-robot 3.1 Phase 1: Initial Path Planning 3.2 Phase II: Multi-robot Coordination Obstacle Avoidance 3.3 Algorithmic Flow of Multi-AGV Conflict Resolution 3.4 Example Illustration 3.5 Experimental Results and Analysis 4 Conclusion References The Recognition of Adult Insects of Helicoverpa armigera and Helicoverpa assulta Based on SAA-ABC-SVM Technology 1 Introduction 2 Insects Image Acquisition and Process 3 Feature Extraction of Insects 3.1 Color Features 3.2 Textural Features 3.3 Seven Invariants of Insects 3.4 Feature Data Normalization 4 Feature Optimization and Recognition Based on SAA-ABC-SVM 4.1 Feature Optimization Based on SAA 4.2 Theoretical Basis of ABC-SVM 4.3 Identification of Four Kinds of Insects by ABC-SVM 5 Conclusions References Prediction of Photovoltaic Power Generation Based on POS-BP Neural Network Abstract 1 Introduction 2 Design of Photovoltaic Power Generation Prediction Model 2.1 PSO–BP Neural Network Model 2.2 Neural Network Structure Design 2.3 Particle Swarm Optimization Algorithm Design 3 Model Implementation 3.1 Data Sample Preprocessing 3.2 Example Simulation and Result Analysis 4 Conclusion Acknowledgments References Predictive Values of Preoperative Index Analysis in Patients with Esophageal Squamous Cell Carcinoma 1 Introduction 2 Materials and Methods 2.1 Patients Selection 2.2 Calculation of Laboratory Data 2.3 Research Methods 3 Results 3.1 Statistical Analysis 3.2 Relationships of PNI with Clinicopathologic Blood Index 3.3 Predictors for PFS 4 Discussion 5 Conclusions References Univariate Analysis and Principal Component Analysis of Preoperative Blood Indicators in Patients with Esophageal Squamous Cell Carcinoma 1 Introduction 2 Objects and Analysis 2.1 Objects 2.2 Case Selection 2.3 Experimental Method and Content 2.4 Follow-Up 2.5 Statistical Analysis 3 Method 3.1 Cox Regression Univariate Analysis 3.2 Spearman and Pearson Correlation Analysis 3.3 Linear Analysis 3.4 Principal Component Analysis 4 Survival Analysis 5 Conclusion References A Developmental Model of Behavioral Learning for the Autonomous Robot 1 Introduction 2 Developmental Network 3 Architecture of the Motivated Developmental Network (MDN) 4 Off-task Process Triggered by Exposure 5 Simulation Experiments 5.1 Simulation Design 5.2 Input and Output 5.3 Simulation Setup 5.4 Simulation in the Static Environment 6 Conclusion and Future Work References Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation 1 Introduction 2 The Proposed Method 2.1 Mutation Operators 2.2 Adding Noise to Mutation Operators 2.3 Evolutionary Algorithm 3 Experiments 3.1 Experimental Setup 3.2 Experiment Result 4 Conclusions References Survival Time Prediction Model of Esophageal Cancer Based on Hierarchical Clustering and Random Neural Network 1 Introduction 2 A Survival Prediction Model Based on Hierarchical Clustering and RNN 2.1 Hierarchical Clustering Related Theory 2.2 Correlation Matrix 2.3 Survival Prediction Model Based on RNN 3 Experimental Results and Analysis 3.1 Data Processing 3.2 Parameter Setting 3.3 Operation Network 3.4 Comparative Experiment 4 Conclusion References Applying of Adaptive Threshold Non-maximum Suppression to Pneumonia Detection 1 Introduction 2 Related Work 3 Adaptive Threshold Methods 3.1 The First Difference 3.2 Mean and Variance 4 Experiments 4.1 Dataset 4.2 Experimental Results 4.3 Threshold Sensitivity Experiment 4.4 Output Comparison of NMS 5 Conclusion References Recognition of an Analog Display Instrument Based on Deep Learning 1 Introduction 2 Instruments Detection and Location 3 Dial Image Processing 3.1 Region-Adaptive Binarization 3.2 Center Location and Pointer Refinement 4 Number Recognition 5 Experimental Results 5.1 Results of Instrument Detection and Location 5.2 Results of Reading Recognition 6 Conclusion References A Local Map Construction Method for SLAM Problem Based on DBSCAN Clustering Algorithm Abstract 1 Introduction 2 Related Work 2.1 DBSCAN Algorithm 2.2 The Least Squares 3 Problem Description and Proposed Methods 4 Experimental Results and Analysis 4.1 Large Area Segmentation Based on Density Peak 4.2 Regional Subdivision and Least Squares Method for Line Segment Fitting 5 Conclusion References Chromosome Medial Axis Extraction Method Based on Graphic Geometry and Competitive Extreme Learning Machines Teams (CELMT) Classifier for Chromosome Classification 1 Introduction 2 Related Works 3 Medial Axis Extraction 3.1 Chromosome Image Preprocessing 3.2 Determine the Initial Point 3.3 Determination of the Remaining Medial Axis Points 4 Competitive ELM Teams Classifier 4.1 Extreme Learning Machine 4.2 Competitive ELM Teams 4.3 Further Correction Method 5 Experiments and Analysis 5.1 Data 5.2 Determination of the Number of Hidden Layer Nodes in Sub-classifiers 5.3 Experimental Analysis of CELMT and Other Algorithms 6 Conclusions References Mechanical Properties Prediction for Hot Roll Steel Using Convolutional Neural Network 1 Introduction 2 Background 2.1 Hot Rolled Processing 2.2 Mechanical Properties of Hot Roll Steel 3 Proposed Algorithm 3.1 CNN Prediction Model 3.2 CNN Optimization and Evaluation Metric 4 Results and Discussions 4.1 Data Description 4.2 Comparison Results 4.3 Hyperparameters Optimization 5 Conclusion References The Neutrophil's Morphology Classification Using Convolutional Neural Network 1 Introduction 2 Methods 2.1 Data Acquisition 2.2 Pre-processing 2.3 Transfer Learning 2.4 Training 3 Results 4 Conclusion and Future Work References Two-Stage Training Method of RetinaNet for Bird's Nest Detection 1 Introduction 2 Bird's Nest Detection 2.1 Related Work 2.2 Architecture 2.3 Two-Stage Training Method Driven by False Detection Samples 3 Experiments 3.1 Experimental Arrangements 3.2 Experimental Results 4 Conclusion and Future Work References SlimResNet: A Lightweight Convolutional Neural Network for Fabric Defect Detection 1 Introduction 2 Related Work 2.1 Shortcut Connection 2.2 Model Compression 3 SlimResNet Architecture 3.1 Bottleneck Block 3.2 Network Structure 3.3 Implementation Details 4 Experiments 4.1 Dataset 4.2 Experimental Comparison 5 Conclusion References Fast and High-Purity Seed Sorting Method Based on Lightweight CNN 1 Introduction 2 Architecture 2.1 Standard Convolution 2.2 Heterogeneous Convolution 2.3 Model Structure 3 Implement Details 3.1 Sunflower Seed Dataset 3.2 Training Details 3.3 Evaluation Details 4 Conclusions References Fabric Defect Detection Based on Total Variation Regularized Double Low-Rank Matrix Representation 1 Introduction 2 Proposed Method 2.1 Feature Extraction 2.2 Model Construction 2.3 Saliency Map Generation and Segmentation 3 Experiment Result 3.1 Experiment Details 3.2 Qualitative Analysis 3.3 Quantitative Analysis 4 Conclusion References Self-attention Deep Saliency Network for Fabric Defect Detection 1 Introduction 2 The Proposed Method 2.1 Feature Extraction 2.2 Self-attention Mechanism 2.3 Feature Fusion 3 Experiments 4 Conclusion References Efficient Neural Network Space with Genetic Search 1 Introduction 2 Related Work 3 Method 3.1 Representation 3.2 Genetic Operations 4 Experiment 4.1 Experiment Details 4.2 Results and Discussion 5 Conclusion References Simulation of Limb Rehabilitation Robot Based on OpenSim 1 Introduction 2 System Correlation Theory 2.1 Gait Data Collection 2.2 OpenSim System 3 Simulation Based on OpenSim 4 Simulation Result 5 Conclusion References Path Planning for Messenger UAV in AGCS with Uncertainty Constraints 1 Introduction 2 Modeling Dynamic Dubins Traveling Salesman Problem with Neighborhood 2.1 The Model of the UGV 2.2 The Model of the UAV 2.3 Modeling Dynamic Dubins Traveling Salesman Problem with Neighbourhood 3 Algorithm for Solving Dynamic Dubins Traveling Salesman Problem with Neighbourhood 3.1 Genetic Algorithm to Determine the Access Order 3.2 The Algorithm for the UAV to Access Communication Neighbourhood of the UGV 4 Analysis of the Effectiveness of the Robust Access Strategy of the UAV 4.1 The Effectiveness Analysis of Access Strategy When the Robust Neighbourhood Is Existing 4.2 The Effectiveness Analysis of Access Strategy When the Robust Neighbourhood Is Not Existing 5 Computational Experiments 5.1 The Computational Results 5.2 Analysis of the Algorithm's Effectiveness 6 Conclusion References RGB-T Saliency Detection via Robust Graph Learning and Collaborative Manifold Ranking 1 Introduction 2 Related Work 3 Affinity Graph Models 3.1 Problem Formulation 3.2 Model Optimization 3.3 Centralpoint Feature Optimization 4 Collaborative Manifold Ranking 4.1 Multi-modal Manifold Ranking 4.2 Two-Stage RGB-T Saliency Detection 5 Experiments 5.1 Evaluation Data and Metrics 5.2 Baseline Methods 5.3 Experimental Setup 5.4 Comparison Results 6 Conclusion References Parametric Method for Designing Discrete-Time Periodic Controller of UAV 1 Introduction 2 Design Principle of Robust Parametric Method 2.1 Parametric Expression of Control Laws 2.2 Improvement of the Objective Function 3 Application of Robust Control in Flight Control Design 4 Conclusions References An Adaptive Learning Rate Q-Learning Algorithm Based on Kalman Filter Inspired by Pigeon Pecking-Color Learning 1 Introduction 2 Foundation of Related Algorithms 2.1 Q-Learning 2.2 Kalman Filter 3 Pigeon Pecking-Color Learning Experiment 3.1 Experimental Paradigm 3.2 Behavioral Data Analysis 4 Adaptive Learning Rate Q-Learning Based on Kalman Filter 4.1 Representation of Q-Learning Based on Kalman Filter Model 4.2 Adaptive Learning Rate Q-Learning Algorithm (ALR-KF Q-Learning) 5 Two-Armed Bandit Experiment 6 Conclusion and Discussion References A CVaR Estimation Model Based on Stable Distribution in SPAN System Abstract 1 Introduction 2 Related Work 3 Estimation Model of Price Scanning Interval 4 A CVaR Estimation Model Based on Stable Distribution 4.1 Classical VaR Model 4.2 Definition of Stable Distribution 4.3 CVaR Estimation Model Based on Stable Distribution 5 Empirical Analysis 6 Conclusion References Author Index This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019. The 121 full papers presented in both volumes were selected from 197 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence