| Description |
1 online resource (xiv, 355 pages) : illustrations |
| Series |
Studies in Computational Intelligence, 1860-949X ; v. 512. Learning, optimization and interdisciplinary applications |
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Studies in computational intelligence ; v. 512, 1860-949X
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Studies in computational intelligence. Learning, optimization and interdisciplinary applications.
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| Contents |
Extending the ABC-Miner Bayesian Classification Algorithm / Khalid M. Salama and Alex A. Freitas -- A Multiple Pheromone Ant Clustering Algorithm / Jan Chircop and Christopher D. Buckingham -- An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem / Magdalene Marinaki and Yannis Marinakis -- Using a Scouting Predator-Prey Optimizer to Train Support Vector Machines with non PSD Kernels / Arlindo Silva and Teresa Gonçalves -- Response Surfaces with Discounted Information for Global Optima Tracking in Dynamic Environments / Sergio Morales-Enciso and Juergen Branke -- Fitness Based Self Adaptive Differential Evolution / Harish Sharma, Pragati Shrivastava, Jagdish Chand Bansal and Ritu Tiwari -- Adaptation Schemes and Dynamic Optimization Problems: A Basic Study on the Adaptive Hill Climbing Memetic Algorithm / Jenny Fajardo Calderín, Antonio D. Masegosa, Alejandro Rosete Suárez and David A. Pelta -- Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Adaptability / Lariza Laura de Oliveira and Renato Tinós -- An Adaptive Multi-Crossover Population Algorithm for Solving Routing Problems / E. Osaba, E. Onieva, R. Carballedo, F. Diaz and A. Perallos -- Corner Based Many-Objective Optimization / Hélio Freire, P.B. de Moura Oliveira, E.J. Solteiro Pires and Maximino Bessa -- Escaping Local Optima via Parallelization and Migration / Vincenzo Cutello, Angelo G. De Michele and Mario Pavone -- An Improved Genetic Based Keyword Extraction Technique / J. Dafni Rose, Divya D. Dev and C.R. Rene Robin -- Part-of-Speech Tagging Using Evolutionary Computation / Ana Paula Silva, Arlindo Silva and Irene Rodrigues -- A Cooperative Approach Using Ants and Bees for the Graph Coloring Problem / Malika Bessedik, Asma Daoudi and Karima Benatchba -- Artificial Bee Colony Training of Neural Networks / John A. Bullinaria and Khulood AlYahya -- Nonlinear Optimization in Landscapes with Planar Regions / Eddy Mesa, Juan David Velásquez and Gloria Patricia Jaramillo -- Optimizing Neighbourhood Distances for a Variant of Fully-Informed Particle Swarm Algorithm / Vytautas Jančauskas -- Meta Morphic Particle Swarm Optimization / Jesse van den Kieboom, Soha Pouya and Auke Jan Ijspeert -- Empirical Study of Computational Intelligence Strategies for Biochemical Systems Modelling / Zujian Wu, Crina Grosan and David Gilbert -- Metachronal Waves in Cellular Automata: Cilia-Like Manipulation in Actuator Arrays / Ioannis Georgilas, Andrew Adamatzky, David Barr, Piotr Dudek and Chris Melhuish -- Team of A-Teams Approach for Vehicle Routing Problem with Time Windows / Dariusz Barbucha -- Self-adaptable Group Formation of Reconfigurable Agents in Dynamic Environments / Ruby L.V. Moritz and Martin Middendorf -- A Choice Function Hyper-heuristic for the Winner Determination Problem / Mourad Lassouaoui and Dalila Boughaci -- Automatic Generation of Heuristics for Constraint Satisfaction Problems / José Carlos Ortiz-Bayliss, Jorge Humberto Moreno-Scott and Hugo Terashima-Marín -- Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn? / José Carlos Ortiz-Bayliss, Hugo Terashima-Marín and Santiago Enrique Conant-Pablos -- Nash Equilibria Detection for Discrete-Time Generalized Cournot Dynamic Oligopolies / Mihai Suciu, Noémi Gaskó, Rodica Ioana Lung and D. Dumitrescu |
| Summary |
Biological 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. 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 |
| Analysis |
engineering |
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computational science |
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kunstmatige intelligentie |
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artificial intelligence |
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Engineering (General) |
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Techniek (algemeen) |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 20, 2013) |
| Subject |
Natural computation -- Congresses
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Mathematical optimization -- Congresses
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Artificial intelligence -- Congresses
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Ingénierie.
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Artificial intelligence
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Natural computation
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Mathematical optimization
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Terrazas, Germán, editor
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Otero, Fernando E. B., editor
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Masegosa, Antonio D., 1982- editor.
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| ISBN |
9783319016924 |
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331901692X |
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