Bio-inspired Computing: Theories and Applications : 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part I / / edited by Linqiang Pan, Jing Liang, Boyang Qu

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XXIV, 775 p. 261 illus., 168 illus. in color.)
• Disciplina: 006
• Soggetto topico: Artificial intelligence; Algorithms; Numerical analysis; Computer networks; Image processing - Digital techniques; Computer vision; Artificial Intelligence; Numerical Analysis; Computer Communication Networks; Computer Imaging, Vision, Pattern Recognition and Graphics
• Persona (resp. second.): PanLinqiang; LiangJing; QuBoyang
• Nota di contenuto: 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. .
• Sommario/riassunto: 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.
• Titolo autorizzato: Bio-inspired Computing: Theories and Applications
• ISBN: 981-15-3425-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910410051203321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 1159