Bio-inspired Computing: Theories and Applications

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

Häftad, Engelska, 2020

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?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.

Produktinformation

Utgivningsdatum2020-04-02
Mått155 x 235 x 43 mm
Vikt1 188 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor775
FörlagSpringer Verlag, Singapore
ISBN9789811534249

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Systemvetenskap och AI inom Data och IT
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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.