Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part II (Lecture Notes in Computer Science, 6239, Band 6239) - Taschenbuch

EAN (ISBN-13): 9783642158704
ISBN (ISBN-10): 3642158706
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Schaefer, Robert, Cotta, Carlos, Kolodziej, Joanna, Rudolph, Günter, Springer
556 Seiten
Gewicht: 0,863 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-12-19T00:57:31+01:00 (Vienna)
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ISBN/EAN: 9783642158704

ISBN - alternative Schreibweisen:
3-642-15870-6, 978-3-642-15870-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: carlo schaefer, günter schäfer, cotta, robert carl, kolodziej, rudolph, birmingham, odziej, paris review
Titel des Buches: problem solving, conférence, parallel, september, proceedings from, our nature, nature international science, international conference proceedings

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Daten vom Verlag:

Autor/in: Robert Schaefer; Carlos Cotta; Joanna Kolodziej; Günter Rudolph
Titel: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Parallel Problem Solving from Nature, PPSN XI - 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part II
Verlag: Springer; Springer Berlin
556 Seiten
Erscheinungsjahr: 2010-09-03
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XXII, 556 p. 182 illus.

BC; Hardcover, Softcover / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; agents; algorithms; evolution; evolutionary algorithm; evolutionary computation; grammar; intelligence; learning; machine learning; metaheuristic; multi-agent system; multi-objective optimization; optimization; problem solving; swarm intelligence; algorithm analysis and problem complexity; Computational and Systems Biology; Artificial Intelligence; Theory of Computation; Algorithms; Automated Pattern Recognition; Discrete Mathematics in Computer Science; Künstliche Intelligenz; Theoretische Informatik; Algorithmen und Datenstrukturen; Mustererkennung; Mathematik für Informatiker; Diskrete Mathematik; EA

Multiobjective Optimization, Models and Applications.- A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition.- A Hybrid Scalarization and Adaptive ?-Ranking Strategy for Many-Objective Optimization.- pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization.- Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation.- Privacy-Preserving Multi-Objective Evolutionary Algorithms.- Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows.- Speculative Evaluation in Particle Swarm Optimization.- Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy.- Consultant-Guided Search Algorithms with Local Search for the Traveling Salesman Problem.- Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space.- Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.- GPGPU-Compatible Archive Based Stochastic Ranking Evolutionary Algorithm (G-ASREA) for Multi-Objective Optimization.- Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization.- A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms.- Applications, Engineering and Economical Models.- Topography-Aware Sensor Deployment Optimization with CMA-ES.- Evolutionary Optimization on Problems Subject to Changes of Variables.- On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization.- Parallel Artificial Immune System in Optimization and Identification of Composite Structures.- Bioreactor Control by Genetic Programming.- Solving the One-Commodity Pickup and Delivery Problem Using an Adaptive HybridVNS/SA Approach.- Testing the Dinosaur Hypothesis under Empirical Datasets.- Fractal Gene Regulatory Networks for Control of Nonlinear Systems.- An Effective Hybrid Evolutionary Local Search for Orienteering and Team Orienteering Problems with Time Windows.- Discrete Differential Evolution Algorithm for Solving the Terminal Assignment Problem.- Decentralized Evolutionary Agents Streamlining Logistic Network Design.- Testing the Permutation Space Based Geometric Differential Evolution on the Job-Shop Scheduling Problem.- New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization.- Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments.- Multi-agent Systems and Parallel Approaches.- An Island Model for the No-Wait Flow Shop Scheduling Problem.- Environment-Driven Embodied Evolution in a Population of Autonomous Agents.- Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning.- EvoShelf: A System for Managing and Exploring Evolutionary Data.- Differential Evolution Algorithms with Cellular Populations.- Flocking in Stationary and Non-stationary Environments: A Novel Communication Strategy for Heading Alignment.- Evolution of XPath Lists for Document Data Selection.- PMF: A Multicore-Enabled Framework for the Construction of Metaheuristics for Single and Multiobjective Optimization.- Parallel Evolutionary Approach of Compaction Problem Using MapReduce.- Ant Colony Optimization with Immigrants Schemes in Dynamic Environments.- Secret Key Specification for a Variable-Length Cryptographic Cellular Automata Model.- Variable Neighborhood Search and Ant Colony Optimization for the Rooted Delay-Constrained Minimum Spanning Tree Problem.- Adaptive Modularization of the MAPK Signaling Pathway Using the Multiagent Paradigm.- Genetic Computing and Games.- Experimental Comparison of Methods to Handle Boundary Constraints in Differential Evolution.- Entropy-Driven Evolutionary Approaches to the Mastermind Problem.- Evolutionary Detection of New Classes of Equilibria: Application in Behavioral Games.- Design and Comparison of two Evolutionary Approaches for Solving the Rubik’s Cube.- Statistical Analysis of Parameter Setting in Real-Coded Evolutionary Algorithms.- Performance of Network Crossover on NK Landscapes and Spin Glasses.- Promoting Phenotypic Diversity in Genetic Programming.- A Genetic Programming Approach to the Matrix Bandwidth-Minimization Problem.- Using Co-solvability to Model and Exploit Synergetic Effects in Evolution.- Fast Grammar-Based Evolution Using Memoization.- Evolution of Conventions and Social Polarization in Dynamical Complex Networks.- Evolving Strategies for Updating Pheromone Trails: A Case Study with the TSP.- The Role of Syntactic and Semantic Locality of Crossover in Genetic Programming.- The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers.
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