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Advances in Swarm Intelligence

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The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm I... Weiterlesen
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The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:

Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm.
Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.


Theories and Models of Swarm Intelligence.- Comparative Analysis of Swarm-based Metaheuristic Algorithms on Benchmark Functions.- A Mathematical Model of Information Theory: the Superiority of Collective Knowledge and Intelligence.- Modelling and Verification Analysis of the Predator Prey System via a First Order Logic Approach.- Flock Diameter Control in a Collision-Avoiding Cucker-Smale Flocking Model.- Building a Simulation Model for Distributed Human-based Evolutionary Computation.- Model of interruptions in swarm unit.- Novel Swarm-based Optimization Algorithms.- Dolphin Pod Optimization.- Teaching-Learning-Feedback-Based Optimization.- A New Magnetotactic Bacteria Optimization Algorithm Based on Moment Migration.- A Guide Sign Optimization Problem for an Added Road Based on Bird Mating Optimizer.- LGWO: An Improved Grey Wolf Optimization for Function Optimization.- An Improved Monarch Buttery Optimization with Equal Partition and F/T Mutation.- Particle Swarm Optimization.- A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour.- The Analysis of Strategy for the Boundary Restriction in Particle Swarm Optimization Algorithm.- Particle Swarm Optimization with Ensemble of Inertia Weight Strategies.- Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search.- A Bare Bones Particle Swarm Optimization Algorithm with Dynamic Local Search.- Improving Multi-layer Particle Swarm Optimization using Powell Method.- On the Improvement of PSO Scripts for Slope Stability Analysis.- A High Dimensional Particle Swarm Optimization Based on Similarity Measurement.- A center multi-swarm cooperative particle swarm optimization with ratio and proportion learning.- Applications of Particle Swarm Optimization.- A Discrete Particle Swarm Algorithm for Combinatorial Auctions.- Registration of GPS and Stereo Vision for Point Cloud Localization in Intelligent Vehicles Using Particle Swarm Optimization.- Immersed Tunnel Element Translation Control under Current Flow Based on Particle Swarm Optimization.- Solving Inverse Kinematics with Vector Evaluated Particle Swarm Optimization.- Particle Swarm Optimization for the Machine Repair Problem with Working Breakdowns.- Intelligent Behavioral Design of Non-Player Characters in a FPS Video Game Through PSO.- Ant Colony Optimization.- An Improved Ant Colony Optimization with Subpath-based Pheromone Modification Strategy.- Decentralized Congestion Control in Random Ant Interaction Networks.- An Energy-Saving Routing Strategy based on Ant Colony Optimization in Wireless Sensor Networks.- Pheromone inspired Morphogenic Distributed Control for Self-Organization of Unmanned Aerial Vehicle Swarm.- Solving the Selective Pickup and Delivery Problem Using Max-Min Ant System.- An Improved Ant-driven Approach to Navigation and Map Building.- Artificial Bee Colony Algorithms.- A Multi-cores Parallel Artificial Bee Colony Optimization Algorithm based on Fork/Join Framework.- Identification of Common Structural Motifs in RNA Sequences using Artificial Bee Colony Algorithm for Optimization.- A Mixed Artificial Bee Colony Algorithm for the Time-of-Use Pricing Optimization.- Optimization of Office-Space Allocation Problem using Artificial Bee Colony Algorithm.- Genetic Algorithms.- Enhancing Exploration and Exploitation of NSGA-II with GP and PDL.- A Novel Strategy to Control Population Diversity and Convergence for Genetic Algorithm.- Consecutive Meals Planning by Using Permutation GA: Evaluation Function Proposal for Measuring Appearance Order of Meal's Characteristics.- Improving Jaccard Index using Genetic Algorithms for Collaborative Filtering.- Optimizing least-cost Steiner tree in graphs via an encoding-free genetic algorithm.- An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm.- Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation.- Differential Evolution.- An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values.- Comparison of Differential Evolution Algorithms on the Mapping between Problems and Penalty Parameters.- Cooperation Coevolution Differential Evolution with Gradient Descent Strategy for Large Scale Optimization.- Chebyshev Inequality based Approach to Chance Constrained Optimization Problems using Differential Evolution.- Eolving the Distributed Two Machine Flow-shop Scheduling Problem using Differential Evolution.- A Multi-Objective Differential Evolution for QoS Multicast Routing.- Energy-Saving Variable Bias Current Optimization for Magnetic Bearing Using Adaptive Differential Evolution.- Fireworks Algorithm.- Acceleration for Fireworks Algorithm Based on Amplitude Reduction Strategy and Local Optima-based Selection Strategy.- From Resampling to Non-Resampling: A Fireworks Algorithm-based Framework for Solving Noisy Optimization Problems.- Elite-leading Fireworks Algorithm.- Guided Fireworks Algorithm Applied to Maximal Covering Location Problem.- Brain Storm Optimization Algorithm.- An Improved Brain Storm Optimization with Learning Strategy.- Difference Brain Storm Optimization for Combined Heat and Power Economic Dispatch.- Cuckoo Search.- Multiple Chaotic Cuckoo Search Algorithm.-Cuckoo Search Algorithm Approach for the IFS Inverse Problem of 2D Binary Fractal Images.- Solving the Graph Coloring Problem using the Cuckoo Search Algorithm.- A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets.- Strategies to Improve Cuckoo Search toward Adapting Randomly Changing Environment.- Firefly Algorithm.- Firefly Algorithm Optimized Particle Filter for Relative Navigation of Non-cooperative Target.- An Improved Discrete Firefly Algorithm Used for Traveling salesman problem.- Firefly Clustering Method for Mining Protein Complexes.- Improved Two-dimensional Otsu based on Firefly Optimization for Low Signal-to-noise Ratio Images.- 3D-FOAdis: an improved fruit fly optimization for function optimization.


Titel: Advances in Swarm Intelligence
Untertitel: 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I
EAN: 9783319618241
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: IT & Internet
Anzahl Seiten: 631
Veröffentlichung: 18.07.2017
Dateigrösse: 36.2 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"