Advances in Swarm Intelligence by Hideyuki Takagi
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Advances in Swarm Intelligence

Advances in Swarm Intelligence


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About the Book

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 Evoluti


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Product Details
  • ISBN-13: 9783319618234
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2017
  • Language: English
  • Returnable: Y
  • Spine Width: 34 mm
  • Weight: 961 gr
  • ISBN-10: 3319618237
  • Publisher Date: 04 Aug 2017
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 631
  • Series Title: Lecture Notes in Computer Science
  • Sub Title: 8th International Conference, Icsi 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I
  • Width: 156 mm


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