Nature Inspired Cooperative Strategies for Optimization (Nicso 2010)

A Metabolic Subsumption Architecture for Cooperative Control of the e-Puck.- Social Target Localization in a Population of Foragers.- Using Knowledge Discovery in Cooperative Strategies: Two Case Studies.- Hybrid Cooperation Models for the Tool Switching Problem.- Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies.- A New Metaheuristic Bat-Inspired Algorithm.- Evaluation of a Catalytic Search Algorithm.- Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics.- Eagle Strategy Using L?vy Walk and Firefly Algorithms for Stochastic Optimization.- CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price.- 3D Cell Pattern Generation in Artificial Development.- Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice.- A Dynamical Game Model for Sustainable Development.- Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm.- HC12: Highly Scalable Optimisation Algorithm.- Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software.- Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study.- A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard.- Cellular Genetic Algorithm on Graphic Processing Units.- Evolutionary Approaches to Joint Nash - Pareto Equilibria.- Accelerated Genetic Algorithms with Markov Chains.- Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms.- Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification.- Artificial Bee Colony Optimization: A New Selection Scheme and Its Performance.- A Heuristic-Based Bee Colony Algorithm for the Multiprocessor Scheduling Problem.- A Bumble Bees Mating Optimization Algorithm for Global Unconstrained Optimization Problems.- A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems.- Using Entropy for Evaluating Swarm Intelligence Algorithms.- Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing.- Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures.- Improvement Strategies for Multi-swarm PSO in Dynamic Environments.- Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions.

• Format: Paperback
• Language: English
• ISBN: 3642263070
• ISBN13: 9783642263071
• Release Date: May 2012
• Publisher: Springer
• Length: 420 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"