Swarm Intelligence Based Optimization
Springer International Publishing (Verlag)
978-3-319-12969-3 (ISBN)
Combining PSO and FCM for Dynamic Fuzzy Clustering Problems.- Metaheuristics for solving a hybrid flexible flowshop problem with sequence-dependent setup times.- Using Particle Swarm Optimization Method to Invert Active Surface Waves.- A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer.- Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition.- Smooth trajectory planning for robot using particle swarm optimization.- Multi-level parallelization for hybrid ACO.- Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms.- Using bio-inspired algorithm to compensate web page color contrast for dichromat users.- Comparison of two swarm intelligence optimization algorithms on the textual color problem for web accessibility.- How Much Forcing is Necessary to Let the Results of Particle Swarms Converge?.- The use of ontology in semantic analysis of the published learners messages for adaptability.- A Hybrid PSO Applied to the Flexible Job Shop with Transport.- Multiple Mobile Target Tracking in Wireless Sensor Networks.- Swarm projects: beyond the metaphor.- An enhanced Particle Swarm Optimisation algorithm combined with Neural Networks to decrease computational time.- Robust Multi-Agent Patrolling Strategies using Reinforcement Learning.- BSG-Starcraft Radius improvements of Particle Swarm Optimization.- Algorithm: an application to Ceramic Matrix Composites.- An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting.- Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach.
Erscheint lt. Verlag | 9.12.2014 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | X, 193 p. 55 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 320 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | Algorithm analysis and problem complexity • ant colony optimization • artificial immune system • bee foraging • bio-inspired • Clustering • combinatorial optimization • Continuous Optimization • Discrete Optimization • flowshop scheduling • hybrid algorithms • machine learning • Metaheuristics • mixed discrete-continuous optimization • Operations Research • optimization algorithms • Parallel Algorithms • Particle swarm optimization • Swarm intelligence • wireless sensor networks |
ISBN-10 | 3-319-12969-4 / 3319129694 |
ISBN-13 | 978-3-319-12969-3 / 9783319129693 |
Zustand | Neuware |
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