Bio-inspired Computing: Theories and Applications

14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part I

AvLinqiang Pan,Jing Liang

Häftad, Engelska, 2020

Del i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-04-02
Mått:155 x 235 x 43 mm
Vikt:1 188 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:775
Förlag:Springer Verlag, Singapore
ISBN:9789811534249

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Review on the Improvement and Application of Ant Colony Algorithm.- Experimental analysis of selective imitation for multifactorial diﬀerential evolution.- Brain Storm Optimization Algorithm with Estimation of Distribution.- Tentative Study on Solving Impulse Control Equations of Plant-pest-predator Model with Diﬀerential Evolution Algorithm.- Microgrid Frequency Control Based on Genetic and Fuzzy Logic Hybrid Optimization.- Using Multi-Objective Particle Swarm Optimization to Solve Dynamic Economic Emission Dispatch Considering Wind Power and Electric Vehicles.- Evolutionary Optimization of Three-degree Inﬂuence Spread In Social Networks Based on DiscreteBacterial Foraging Optimization Algorithm.- Ant Colony Algorithm Based on Upper Bound of Nodes for Robot Path Planning Problems.- Adaptive Brain Storm Optimization Based on Learning Automata.- A reference point-based evolutionary algorithm for many-objective fuzzy portfolio selection.- Hybrid Bacterial Forging Optimization based on Artiﬁcial Fish Swarm Algorithm and Gaussian Disturbance.- Research on Multiobjective Optimization Strategy of Economic/Environmental Energy Management for Multi-Energy Ship Based on MOEA/D.- Many-objective Evolutionary Optimization based Economic Dispatch of Integrated Energy Systemwith Multi-microgrid and CHP.- Multiobjective Particle Swarm Optimization with Directional Search for Distributed PermutationFlow Shop Scheduling Problem.- An Improved Pigeon-Inspired Optimization Combining Adaptive Inertia Weight with a One-Dimension Modiﬁcation Mechanism.- ESAE: Evolutionary Strategy-based Architecture Evolution.- Species-based diﬀerential evolution with migration for multimodal optimization.- An Enhanced Bacterial Foraging Optimization Based on Levy Flight and Improved Roulette Wheel Selection.- Three-Dimensional Packing Algorithm of Single Container Based on Genetic Algorithm.- A Hybrid Ant Colony Optimization Algorithm for the Fleet Size and Mix Vehicle Routing Problemwith Time Windows.- Multi-Subpopulation Algorithm with Ensemble Mutation Strategies for Protein Structure Prediction.- A Multi-Objective Bat Algorithm for Software Defect Prediction.- Mutation Strategy Selection Based on Fitness Landscape Analysis : A Preliminary Study.- Ensemble Learning Based on Multimodal Multiobjective Optimization.- Aircraft scheduling problems based on genetic algorithms.- Estimating Approximation Errors of Elitist Evolutionary Algorithms.- Research on Two-level Inventory Optimization Algorithm for Repairable Spare Parts Based onImproved Diﬀerential Evolution.- A clustering-based multiobjective evolutionary algorithm for balancing exploration and exploitation.- An Improved Squirrel Search Algorithm with Reproduction and Competition Mechanisms.- Modiﬁed Self-adaptive Brain Storm Optimization Algorithm for Multimodal Optimization.- Recent Bio-inspired Algorithms for Solving Flexible Job Shop Scheduling Problem: A Comparative Study.- Unidirectional Cyclic Network Architecture for Distributed Evolution.- A Re-initialization Clustering-based Adaptive Diﬀerential Evolution for Nonlinear Equations Systems.- Ensemble Learning via Multimodal Multiobjective Diﬀerential Evolution and Feature Selection.- A Knee Point based NSGA-II Multi-objective Evolutionary Algorithm.- A Cell Potential and Motion Pattern driven Multi-Robot Coverage Path Planning Algorithm.- Task Set Scheduling of Airport Freight StationBased on Parallel Artiﬁcial Bee ColonyAlgorithm.- Water Wave Optimization With Self-Adaptive Directed Propagation.- An Unbiased Butterﬂy Oplimizatlon Algorilhm.- On-chip health monitoring based on DE-Cluster in 2.5D ICs.- Multi-AGV Collision Avoidance Path Optimization for Unmanned Warehouse Based on ImprovedAnt Colony Algorithm.- An Improved Competitive Swarm Optimizer for Large Scale Optimization.- MEAPCA: A multi-population evolutionary algorithm based on PCA for multi-objective optimization.- A Novel Genetic Algorithm With Population Perturbation and Elimination for Multi-Satellite T-T&C Scheduling Problem.- A Novel Grey Wolf Optimization Based Combined Feature Selection Method.- Improved discrete artiﬁcial bee colony algorithm.- UAV 3D Path Planning Based on Multi-population Ensemble Diﬀerential Evolution.- Multi-objective Feature Selection based on Artiﬁcial Bee Colony for Hyperspectral Images.- Meta-Heuristic Hybrid Algorithmic Approach for Solving Combinatorial Optimization Problem(TSP).- An Eﬀective Two-stage Optimization Method based on NSGA-II for Green Multi-Objective Inte-grated Process Planning and Scheduling Problem.- An Improved Multi-objective Particle Swarm Optimization with Adaptive Penalty Value for Feature Selection.- An Adaptive Brain Storm Optimization Algorithm based on Heuristic Operatorsfor TSP.- A Modiﬁed JAYA Algorithm for Optimization in Brushless DC Wheel Motor.- Genetic Action Sequence for Integration of Agent Actions.- Based on fuzzy non-dominant and sparse individuals to improve many-objective diﬀerential evolutionary.- KnEA with Ensemble Approach for Parameter Selection for Many-objective Optimization.- Decomposition based diﬀerentiate evolution algorithm with niching strategy for Multimodal Multi-objective Optimization.- A Bacterial Foraging Framework for AgentBased Modeling.- A Modiﬁed Memetic Algorithm for Multi-depot Green Capacitated Arc Routing Problem.- Multi-objective Pick-up Point Location Optimization Based on A Modied Genetic Algorithm.- Eﬃcient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover.