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Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

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Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.

Author(s): Verena Fischer, Simon Hickinbotham (auth.), Juan R. González, David Alejandro Pelta, Carlos Cruz, Germán Terrazas, Natalio Krasnogor (eds.)
Series: Studies in Computational Intelligence 284
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010

Language: English
Pages: 420
Tags: Computational Intelligence; Artificial Intelligence (incl. Robotics); Applications of Mathematics

Front Matter....Pages -
A Metabolic Subsumption Architecture for Cooperative Control of the e-Puck....Pages 1-12
Social Target Localization in a Population of Foragers....Pages 13-24
Using Knowledge Discovery in Cooperative Strategies: Two Case Studies....Pages 25-38
Hybrid Cooperation Models for the Tool Switching Problem....Pages 39-52
Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies....Pages 53-63
A New Metaheuristic Bat-Inspired Algorithm....Pages 65-74
Evaluation of a Catalytic Search Algorithm....Pages 75-87
Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics....Pages 89-100
Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization....Pages 101-111
CO 2 RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price....Pages 113-125
3D Cell Pattern Generation in Artificial Development....Pages 127-139
Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice....Pages 141-150
A Dynamical Game Model for Sustainable Development....Pages 151-162
Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm....Pages 163-176
HC12: Highly Scalable Optimisation Algorithm....Pages 177-183
Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software....Pages 185-197
Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study....Pages 199-210
A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard....Pages 211-222
Cellular Genetic Algorithm on Graphic Processing Units....Pages 223-232
Evolutionary Approaches to Joint Nash – Pareto Equilibria....Pages 233-243
Accelerated Genetic Algorithms with Markov Chains....Pages 245-254
Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms....Pages 255-267
Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification....Pages 269-282
Artificial Bee Colony Optimization: A New Selection Scheme and Its Performance....Pages 283-294
A Heuristic-Based Bee Colony Algorithm for the Multiprocessor Scheduling Problem....Pages 295-304
A Bumble Bees Mating Optimization Algorithm for Global Unconstrained Optimization Problems....Pages 305-318
A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems....Pages 319-330
Using Entropy for Evaluating Swarm Intelligence Algorithms....Pages 331-343
Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing....Pages 345-357
Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures....Pages 359-370
Improvement Strategies for Multi-swarm PSO in Dynamic Environments....Pages 371-383
Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions....Pages 385-397
Back Matter....Pages -