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001 978-3-319-01692-4
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005 20200420220227.0
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020 _a9783319016924
_9978-3-319-01692-4
024 7 _a10.1007/978-3-319-01692-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aNature Inspired Cooperative Strategies for Optimization (NICSO 2013)
_h[electronic resource] :
_bLearning, Optimization and Interdisciplinary Applications /
_cedited by German Terrazas, Fernando E. B. Otero, Antonio D. Masegosa.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXIII, 355 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v512
505 0 _aExtending the ABC-Miner Bayesian Classification Algorithm -- A Multiple Pheromone Ant Clustering Algorithm -- An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem -- Using a Scouting Predator-Prey Optimizer to Train Support Vector Machines with non PSD Kernels -- Response Surfaces with Discounted Information for Global Optima Tracking in Dynamic Environments -- Fitness based Self Adaptive Differential -- Adaptation schemes and dynamic optimization problems: a basic study on the Adaptive Hill Climbing Memetic Algorithm -- Using base position errors in an entropy-based evaluation function for the study of genetic code adaptability -- An Adaptive Multi-Crossover Population Algorithm for Solving Routing Problems -- Corner Based Many-Objective Optimization -- Escaping Local Optima via Parallelization and -- An Improved Genetic Based Keyword Extraction Technique -- Part-of-Speech Tagging Using Evolutionary Computation -- A Cooperative approach using ants and bees for the graph coloring problem -- Artificial Bee Colony Training of Neural Networks -- Nonlinar optimization in landscapes with planar regions -- Optimizing Neighbourhood Distances for a Variant of Fully-Informed Particle Swarm Algorithm -- Meta Morphic Particle Swarm Optimization -- Empirical study of computational intelligence strategies for biochemical systems modelling -- Metachronal waves in Cellular Automata: Cilia-like manipulation in actuator arrays -- Team of A-Teams Approach for Vehicle Routing Problem with Time Windows -- Self-adaptable Group Formation of Reconfigurable Agents in Dynamic Environments -- A Choice Function Hyper-Heuristic for the Winner Determination Problem -- Automatic Generation of Heuristics for Constraint Satisfaction Problems -- Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is there Something to Learn -- Nash Equilibria Detection for Discrete-time Generalized Cournot Dynamic Oligopolies.
520 _aBiological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. Previous editions of NICSO were held in Granada, Spain (2006 & 2010), Acireale, Italy (2007), Tenerife, Spain (2008), and Cluj-Napoca, Romania (2011). NICSO 2013 and this book provides a place where state-of-the-art research, latest ideas and emerging areas of nature inspired cooperative strategies for problem solving are vigorously discussed and exchanged among the scientific community. The breadth and variety of articles in this book report on nature inspired methods and applications such as Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Dynamic Optimization, Support Vector Machines, Multi-Agent Systems, Ant Clustering, Evolutionary Design Optimisation, Game Theory and other several Cooperation Models.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aTerrazas, German.
_eeditor.
700 1 _aOtero, Fernando E. B.
_eeditor.
700 1 _aMasegosa, Antonio D.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319016917
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v512
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-01692-4
912 _aZDB-2-ENG
942 _cEBK
999 _c52289
_d52289