Swarm Intelligence by Christian Blum
Swarm intelligence is a modern arti?cial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in - timization and in robotics. The design paradigm for these systems is fun- mentally di?erent from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals.-
Robot Evolution
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An Introduction to Metaheuristics for Optimization
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Deep Neural Evolution
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Lectures on Intelligent Systems
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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
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Coevolutionary Computation and Its Applications
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Visions of DNA Nanotechnology at 40 for the Next 40
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Cartesian Genetic Programming
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Bioinspired Computation in Combinatorial Optimization
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Self-organising Software
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Evolution as Computation
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Algorithmic Bioprocesses
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General-Purpose Optimization Through Information Maximization
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Nature Inspired Optimisation for Delivery Problems
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Experimental Research in Evolutionary Computation
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Hyper-Heuristics: Theory and Applications
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Modelling in Molecular Biology
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Advances in Metaheuristics for Hard Optimization
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Foraging-Inspired Optimisation Algorithms
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Mobility in Process Calculi and Natural Computing
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Automating the Design of Data Mining Algorithms
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Contemporary Evolution Strategies
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Theory and Principled Methods for the Design of Metaheuristics
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Discrete and Topological Models in Molecular Biology
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Massively Parallel Evolutionary Computation on GPGPUs
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Multimodal Optimization by Means of Evolutionary Algorithms
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Computation in Living Cells
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Sensitivity Analysis for Neural Networks
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Reservoir Computing
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Hybrid Metaheuristics
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Construct, Merge, Solve & Adapt
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Evolutionary Computation in Combinatorial Optimization
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Sprechstile in Videospielen
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Die Profession und Philosophische Sozialarbeit im Kontext postmoderner Gesellschaft
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Philosophische Sozialarbeit - Der Mensch im Lichte ewigen Denkens
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Die Bestimmung des Gemeinwohls
From the reviews:
"This book, edited by Christian Blum and Daniel Merkle, gives us the state of the art in this new and intriguing field of research, through a collection of eight chapters written by leading experts in the field… Overall, this book is successful in presenting how naturally inspired design differs from traditional approaches … . an interesting read for researchers, to learn the latest developments in this fascinating field, and also for beginners, to get an introduction to swarm intelligence topics and applications." (Alessandro Berni, ACM Computing Reviews, June, 2009)
| SKU | Unavailable |
| ISBN 13 | 9783642093432 |
| ISBN 10 | 3642093434 |
| Title | Swarm Intelligence |
| Author | Christian Blum |
| Series | Natural Computing Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-11-23 |
| Number of pages | 286 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |