## Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)Natalio Krasnogor, Vincenzo Nicosia, Mario Pavone, David Alejandro Pelta Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc. |

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### Contents

A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization | 1 |

Probabilistically Guided Prefix Gene Expression Programming | 15 |

Flockingbased Document Clustering on the Graphics Processing Unit | 27 |

Artificial Immune System for Collaborative Spam Filtering | 39 |

MP Systems and Hybrid Petri Nets | 52 |

Spatial Sorting of Binary Metadata Documents via NatureInspired Agents in Grids | 63 |

hCHAC4 an ACO Algorithm for Solving the FourCriteria Military Pathﬁnding Problem | 73 |

Searching Ground States of Ising Spin Glasses with Genetic Algorithms and Binary Particle Swarm Optimization | 85 |

Learning Classifier System with Selfadaptive Discovery Mechanism | 273 |

A Survey | 284 |

Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer GENIE | 299 |

Discrete Particle Swarm Optimization for the Minimum Labelling Steiner Tree Problem | 312 |

Ant Colony Cooperative Strategy in Electrocardiogram and Electroencephalogram Data Clustering | 323 |

A Surface Tension and Coalescence Model for Dynamic Distributed Resources Allocation in Massively Parallel Processors onChip | 335 |

Cooperative Learning Sensitive Agent System for Combinatorial Optimization | 346 |

A Hybrid Genetic Algorithm for the Travelling Salesman Problem | 357 |

A Hybrid System of Nature Inspired Metaheuristics | 95 |

A New EvolutionarySwarm Cooperative Algorithm | 105 |

Stabilizing Swarm Intelligence Search via Positive Feedback Resource Allocation | 115 |

An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances | 125 |

Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem | 138 |

System Integration of a FixedPoint Swarm Coprocessor | 149 |

Dynamic Adaptation of Genetic Operators Probabilities | 159 |

Cooperative Coevolution Inspired Operators for Classical GP Schemes | 169 |

Comparing the Neural and Immune Paradigms | 179 |

An Architecture for Designing Natureinspired Cooperative Decentralized Heuristics | 189 |

Memetic Algorithm for the Generalized Asymmetric Traveling Salesman Problem | 199 |

Particle Swarm Based Collective Searching Model for Adaptive Environment | 211 |

A New Nature Inspired Computational Framework for Multidimensional Search and Optimization | 221 |

Social Impact based Approach to Feature Subset Selection | 239 |

Inﬂuence of Different Deviations Allowed for Equality Constraints on Particle Swarm Optimization and Differential Evolution | 249 |

Efficiency of Various Stochastic Optimization Algorithms in High Frequency Electromagnetic Applications | 261 |

A BioInspired Model for Parsing of Natural Languages | 368 |

An Evolutionary Approach for Performing Structural UnitTesting on ThirdParty ObjectOriented Java Software | 379 |

Adaptive Spatial Allocation of Resource for Parallel Genetic Algorithm | 389 |

3Colorability Problem | 399 |

MultiConstraints Routing Algorithm Based on Swarm Intelligence over High Altitude Platforms | 409 |

A Genetic Algorithm Framework Applied to Quantum Circuit Synthesis | 419 |

A Method for Clustering Objects by their Contextual Specificity | 431 |

An Evolutionary Based Production Planning and Scheduling System | 443 |

Performance Analysis of Turning Process via Particle Swarm Optimization | 453 |

Automatic Selection for the Beta Basis Function Neural Networks | 461 |

A Problem of Generalization Which Works Best Large Population Size and Small Number of Generations or visa versa? | 475 |

Detecting Hierarchical Organization in Complex Networks by Nearest Neighbor Correlation | 486 |

A Genetic Algorithm Based on Complex Networks Theory for the Management of Airline Route Networks | 495 |

Improved Genetic Algorithm | 507 |