Nature Inspired Cooperative Strategies for Optimization Nicso 2007

by Krasnogor, Natalio; Nicosia, Giuseppe; Pavone, Mario; Pelta, David

• ISBN13: 9783540789864
• ISBN10: 3540789863
• Format: Hardcover
• Copyright: 2008-07-04
• Publisher: Springer Verlag

Summary

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.

Author Biography

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.

Table of Contents

A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization	p. 1
Probabilistically Guided Prefix Gene Expression Programming	p. 15
Flocking-based Document Clustering on the Graphics Processing Unit	p. 27
Artificial Immune System for Collaborative Spam Filtering	p. 39
MP Systems and Hybrid Petri Nets	p. 53
Spatial Sorting of Binary Metadata Documents via Nature-Inspired Agents in Grids	p. 63
hCHAC-4, an ACO Algorithm for Solving the Four-Criteria Military Path-finding Problem	p. 73
Searching Ground States of Ising Spin Glasses with Genetic Algorithms and Binary Particle Swarm Optimization	p. 85
A Hybrid System of Nature Inspired Metaheuristics	p. 95
ESCA: A New Evolutionary-Swarm Cooperative Algorithm	p. 105
Stabilizing Swarm Intelligence Search via Positive Feedback Resource Allocation	p. 115
An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances	p. 125
Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem	p. 139
Self-Organization on Silicon: System Integration of a Fixed-Point Swarm Coprocessor	p. 149
Dynamic Adaptation of Genetic Operators' Probabilities	p. 159
Cooperative Co-evolution Inspired Operators for Classical GP Schemes	p. 169
Biologically Inspired Clustering: Comparing the Neural and Immune Paradigms	p. 179
CODEA: An Architecture for Designing Nature-inspired Cooperative Decentralized Heuristics	p. 189
Memetic Algorithm for the Generalized Asymmetric Traveling Salesman Problem	p. 199
Particle Swarm Based Collective Searching Model for Adaptive Environment	p. 211
Central Force Optimization: A New Nature Inspired Computational Framework for Multidimensional Search and Optimization	p. 221
Social Impact based Approach to Feature Subset Selection	p. 239
Influence of Different Deviations Allowed for Equality Constraints on Particle Swarm Optimization and Differential Evolution	p. 249
Efficiency of Various Stochastic Optimization Algorithms in High Frequency Electromagnetic Applications	p. 261
Learning Classifier System with Self-adaptive Discovery Mechanism	p. 273
An Approach to Genome Statistics Inspired by Stochastic or Quantum Models of Computing: A Survey	p. 285
Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE)	p. 299
Discrete Particle Swarm Optimization for the Minimum Labelling Steiner Tree Problem	p. 313
Ant Colony Cooperative Strategy in Electrocardiogram and Electroencephalogram Data Clustering	p. 323
A Surface Tension and Coalescence Model for Dynamic Distributed Resources Allocation in Massively Parallel Processors on-Chip	p. 335
Cooperative Learning Sensitive Agent System for Combinatorial Optimization	p. 347
A Hybrid Genetic Algorithm for the Travelling Salesman Problem	p. 357
A BioInspired Model for Parsing of Natural Languages	p. 369
An Evolutionary Approach For Performing Structural Unit-Testing On Third-Party Object-Oriented Java Software	p. 379
Adaptive Spatial Allocation of Resource for Parallel Genetic Algorithm	p. 389
Implementation of Massive Parallel Networks of Evolutionary Processors (MPNEP): 3-Colorability Problem	p. 399
Multi-Constraints Routing Algorithm Based on Swarm Intelligence over High Altitude Platforms	p. 409
A Genetic Algorithm Framework Applied to Quantum Circuit Synthesis	p. 419
Semantic Distillation: A Method for Clustering Objects by their Contextual Specificity	p. 431
UPlanIT: An Evolutionary Based Production Planning and Scheduling System	p. 443
Performance Analysis of Turning Process via Particle Swarm Optimization	p. 453
Automatic Selection for the Beta Basis Function Neural Networks	p. 461
Evolvable Hardware: A Problem of Generalization Which Works Best: Large Population Size and Small Number of Generations or visa versa?	p. 475
Detecting Hierarchical Organization in Complex Networks by Nearest Neighbor Correlation	p. 487
A Genetic Algorithm Based on Complex Networks Theory for the Management of Airline Route Networks	p. 495
GAHC: Improved Genetic Algorithm	p. 507
Table of Contents provided by Blackwell. All Rights Reserved.