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024 7 10.1201/b15024|2doi
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082 04 006.3|bI121
082 04 006.3|bI121
099 eBook O’Reilly for Public Libraries
100 1 Iba, Hitoshi,|eauthor.
245 10 Agent-based modeling and simulation with Swarm /|cHitoshi
Iba.|h[O'Reilly electronic resource]
264 1 Boca Raton, Florida :|bCRC Press,|c[2013]
264 4 |c©2013
300 1 online resource (xx, 297 pages) :|billustrations
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 data file|2rda
490 1 Chapman & Hall/CRC studies in informatics series
504 Includes bibliographical references and index.
505 0 1. Introduction -- 2. Evolutionary methods and
evolutionary computation -- 3. Multi-agent simulation
based on swarm -- 4. Evolutionary simulation -- 5. Ant
colony : based simulation -- 6. Particle swarm simulation
-- 7. Cellular automata simulation -- 8. Conclusion.
520 Swarm-based multi-agent simulation leads to better
modeling of tasks in biology, engineering, economics, art,
and many other areas. It also facilitates an understanding
of complicated phenomena that cannot be solved
analytically. Agent-Based Modeling and Simulation with
Swarm provides the methodology for a multi-agent-based
modeling approach that integrates computational techniques
such as artificial life, cellular automata, and bio-
inspired optimization. Each chapter gives an overview of
the problem, explores state-of-the-art technology in the
field, and discusses multi-agent frameworks. The.
588 0 Online resource; title from PDF title page (CRCnetBASE,
viewed July 16, 2013).
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Multiagent systems.
650 0 Swarm intelligence.
650 6 Systèmes multiagents (Intelligence artificielle)
650 7 Multiagent systems|2fast
650 7 Swarm intelligence|2fast
776 08 |iPrint version:|tAgent-based Modeling and Simulation With
Swarm.|dChapman & Hall 2013|z9781466562349
|w(OCoLC)792874796
830 0 Chapman & Hall/CRC studies in informatics series.
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|zAvailable on O’Reilly for Public Libraries
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