TY - BOOK ID - 7765658 TI - Fireworks Algorithm : A Novel Swarm Intelligence Optimization Method PY - 2015 SN - 3662463520 3662463539 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Computer Science KW - Mechanical Engineering - General KW - Engineering & Applied Sciences KW - Mechanical Engineering KW - Swarm intelligence. KW - Collective intelligence KW - Computer science. KW - Numerical analysis. KW - Artificial intelligence. KW - Computational intelligence. KW - Robotics. KW - Automation. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Computational Intelligence. KW - Numeric Computing. KW - Robotics and Automation. KW - Automatic factories KW - Automatic production KW - Computer control KW - Engineering cybernetics KW - Factories KW - Industrial engineering KW - Mechanization KW - Assembly-line methods KW - Automatic control KW - Automatic machinery KW - CAD/CAM systems KW - Robotics KW - Automation KW - Machine theory KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Mathematical analysis KW - Informatics KW - Science KW - Cellular automata KW - Distributed artificial intelligence KW - Engineering. KW - Electronic data processing. KW - Artificial Intelligence. KW - ADP (Data processing) KW - Automatic data processing KW - Data processing KW - EDP (Data processing) KW - IDP (Data processing) KW - Integrated data processing KW - Computers KW - Office practice KW - Construction KW - Industrial arts KW - Technology UR - https://www.unicat.be/uniCat?func=search&query=sysid:7765658 AB - This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modelling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metaheuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc. ER -