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Ant colonies : behavior in insects and computer applications / / Emily C. Sun, editor



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Titolo: Ant colonies : behavior in insects and computer applications / / Emily C. Sun, editor Visualizza cluster
Pubblicazione: Hauppauge, NY, : Nova Science Publishers, c2011
Edizione: 1st ed.
Descrizione fisica: 1 online resource (286 p.)
Disciplina: 006.3
Soggetto topico: Swarm intelligence
Ants - Nests
Ants - Behavior
Altri autori: SunEmily C  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: ""CONTENTS""; ""PREFACE""; ""PROGRESSIVE ORGANIZATION OFCO-OPERATING COLONIES/COLLECTIONS OF ANTS/AGENTS (POOCA) FOR COMPETENT PHEROMONE-BASED NAVIGATION AND MULTI-AGENT LEARNING""; ""ANT COLONY SOLUTION TO THE OPTIMAL TRANSFORMER SIZING AND EFFICIENCY PROBLEM IN POWER SYSTEMS""; ""DISTRIBUTED DECISIONS: NEW INSIGHTS FROM RADIO-TAGGED ANTS""; ""IMPACTS, ECOLOGY AND DISPERSAL OF THE INVASIVE ARGENTINE ANT""; ""ANT COLONY OPTIMIZATION USED IN NO WAVEFRONT SENSOR ADAPTIVE OPTICS SYSTEMS FOR SOLID-STATE LASERS""; ""ANT COLONY OPTIMIZATION:APOWERFUL STRATEGY FOR BIOMARKER FEATURE SELECTION""
""ANT COLONY OPTIMIZATION BASED MESSAGE AUTHENTICATION FORWIRELESS NETWORKS""""INDEX""
Sommario/riassunto: 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.
Titolo autorizzato: Ant colonies  Visualizza cluster
ISBN: 1-61122-398-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910972512703321
Lo trovi qui: Univ. Federico II
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Serie: Computer science, technology and applications.