Merkzettel Warenkorb

Gutscheinbedingungen

**Gültig bis 10.06.2026 / Gültig für gebrauchte Bücher / Mindestbestellwert 20,00 € / Einzelne Artikel können ausgeschlossen sein / Online auf www.bücher.de.de / Nicht kombinierbar mit anderen Gutscheinen oder Preisaktionen / Nur einmal pro Einkauf einlösbar / Gutschein wird auf max. 500€ Bestellwert angerechnet / Keine Barauszahlung / Nicht gültig für Versandkosten und Services
  • Produktbild: Advances in Swarm Intelligence
  • Produktbild: Advances in Swarm Intelligence
Band 10385

Advances in Swarm Intelligence 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.06.2017

Abbildungen

XXVII, 184 illus., schwarz-weiss Illustrationen

Herausgeber

Ying Tan + weitere

Verlag

Springer

Seitenzahl

631

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

984 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-61823-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.06.2017

Abbildungen

XXVII, 184 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

631

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

984 g

Auflage

1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-61823-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern
  • Produktbild: Advances in Swarm Intelligence
  • Produktbild: Advances in Swarm Intelligence
  • 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 TranslationControl 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.- Identificationof 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.