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Ant Colonies: Behavior in Insects & Computer Applications

Editat de Emily C Sun
en Limba Engleză Hardback – 11 aug 2011
Ant colony optimisation is a population-based general-search technique that can be used for the solution of difficult combinatorial problems. Ant colony optimisation uses the knowledge-reinforcing mechanism used by real-life ants while traversing possible paths in search of food, depositing a chemical substance (called pheromone), en-route and subsequently forming trails which can then be followed by other ants in the colony. With its strong mathematical foundation and its simplicity of use, ant colony optimisation provides an alternative method to routing optimisations with a wide range of applications. This book presents topical research in the study of ant colonies, their behaviour and application in computer technologies.
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Specificații

ISBN-13: 9781611220230
ISBN-10: 1611220238
Pagini: 274
Ilustrații: b/w photos, tables & charts
Dimensiuni: 260 x 180 x 23 mm
Greutate: 0.74 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)
Locul publicării:United States

Cuprins

Preface; Progressive Organization of Co-Operating Colonies/Collections of Ants/Agents (POOCA) for Competent Pheromone-Based Navigation & Multi-Agent Learning; Ant Colony Solution to the Optimal Transformer Sizing & Efficiency Problem in Power Systems; Distributed Decisions: New Insights from Radio-Tagged Ants; Ant Colony Optimization used in No Wavefront Sensor Adaptive Optics Systems for Solid-State Lasers; Any Colony Optimization Agents & Path Routing: The Cases of Construction Scheduling & Urban Water Distribution Pipe Networks; KANTS: A Self-Organized Ant System for Pattern Clustering & Classification; A Hybrid System Based in Ant Colony & Paraconsistent Logic; Ant Colony Optimization: A Powerful Strategy for Biomarker Feature Selection; Any Colony Optimization Based Message Authentication for Wireless Networks; Index.