Advances in Swarm Intelligence : 11th International Conference, Icsi 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings
Overview
Swarm Intelligence and Nature-Inspired Computing Swarm Intelligence in Data Science: Applications, Opportunities and Challenges.- Synchronized Swarm Operation.- Prediction of Photovoltaic Power using Nature-Inspired Computing.- A Two-Step Approach to the Search of Minimum Energy Designs via Swarm Intelligence.- On Assessing the Temporal Characteristics of Reaching the Milestone by a Swarm.- Swarm-based Computing Algorithms for Optimization Learning Automata-based Fireworks Algorithm On Adaptive Assigning.- Binary Pigeon-Inspired Optimization for Quadrotor Swarm Formation Control.- A Novel Biogeography-based Optimization Algorithm with Momentum Migration and Taxonomic Mutation.- A Modi ed Arti cial Bee Colony Algorithm for Scheduling Optimization of Multi-Aisle AS/RS System.- The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining.- A Novel Image Segmentation Based on Clustering and Population-Based Optimisation.- Colour Quantisation by Human Mental Search.- Canine Algorithm for Node Disjoint Paths.- Particle Swarm Optimization.- Optimizing Hydrography Ontology Alignment through Compact Particle Swarm Optimization Algorithm.- Map Generation and Balance in the Terra Mystica Board Game Using Particle Swarm and Local Search.- Research on Crowd-sensing Task Assignment Based on Fuzzy Inference PSO Algorithm.- The improvement of V-shaped transfer function of Binary Particle Swarm Optimization.- Hybrid Ant Colony Optimization-based Method for Focal of a Disease Segmentation in Lung CT Images.- An Ant-Inspired Track-to-Track Recovery Approach for Construction of Cell Lineage Trees.- An Ant Colony Optimization Algorithm Based Automated Generation of Software Test Cases.- Brain Storm Optimization Algorithm.- BSO-CLS: Brain Storm Optimization Algorithm with Cooperative Learning Strategy.- A Hybrid Brain Storm Optimization Algorithm for Dynamic Vehicle Routing Problem.- Determinative Brain Storm Optimization.-An Adapting Chemotaxis Bacterial Foraging Optimization Algorithm for Feature Selection in Classification.- Bacterial Foraging Optimization Based on Levy Flight for Fuzzy Portfolio Optimization.- Adaptive bacterial foraging optimization based on roulette strategy.- An Improved Bacterial Foraging Optimization with Dierential and Poisson Distribution Strategy and its Application to Nurse Scheduling Problem.- Improved Bacterial Foraging Optimization Algorithm with Comprehensive Swarm Learning Strategies.- Modified Bacterial Foraging Optimization for Fuzzy MeanSemivariance-Skewness Portfolio Selection.- Genetic Algorithm and Evolutionary Computation.- A New Local Search Adaptive Genetic Algorithm for the Pseudo-Coloring Problem.- A Genetic Algorithm-Based Solver for small-scale Jigsaw Puzzles.- A New EDA with Dimension Reduction Technique for Large Scale Many-objective Optimization.- An Improved CMA-ES for Solving Large Scale Optimization Problem.- Archive Update Strategy In uences Di erential Evolution Performance.- A Structural testing model using SDA algorithm.- Multi-objective Particle Swarm Optimisation for Cargo Packaging in Large Containers.- Multi-objective Combinatorial Generative Adversarial Optimization and Its Application in Crowdsensing.-Multi-Objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology.- Optimal Reservoir Optimization Using Multiobjective Genetic Algorithm.- Success-history based parameter adaptation in MOEA/D algorithm.- Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria.- A Tool for Supporting the Evaluation of Active Learning Activities.- Inferring Candidate CircRNA-disease Associations by Bi-random Walk Based on CircRNA Regulatory Similarity.- Methods of Machine Learning in System Abnormal Behavior Detection.- Use of the industrial property system in Colombia (2018): a machine learning application.- Imbalanced Ensemble Learning for Enhanced Pulsar Identification.
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Details
- ISBN-13: 9783030539559
- ISBN-10: 3030539555
- Publisher: Springer
- Publish Date: July 2020
- Dimensions: 9.21 x 6.14 x 1.42 inches
- Shipping Weight: 2.16 pounds
- Page Count: 689
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