| 000 | 07607nam a22006015i 4500 | ||
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| 001 | 978-3-642-15871-1 | ||
| 003 | DE-He213 | ||
| 005 | 20140220084547.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100913s2010 gw | s |||| 0|eng d | ||
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_a9783642158711 _9978-3-642-15871-1 |
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| 024 | 7 |
_a10.1007/978-3-642-15871-1 _2doi |
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| 050 | 4 | _aQH324.2-324.25 | |
| 072 | 7 |
_aPSA _2bicssc |
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| 072 | 7 |
_aUB _2bicssc |
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| 072 | 7 |
_aCOM014000 _2bisacsh |
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| 082 | 0 | 4 |
_a570.285 _223 |
| 100 | 1 |
_aSchaefer, Robert. _eeditor. |
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| 245 | 1 | 0 |
_aParallel Problem Solving from Nature, PPSN XI _h[electronic resource] : _b11th International Conference, Kraków, Poland, September 11-15, 2010, Proceedings, Part II / _cedited by Robert Schaefer, Carlos Cotta, Joanna Kołodziej, Günter Rudolph. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
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| 300 |
_aXXII, 556p. 182 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6239 |
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| 505 | 0 | _aMultiobjective 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 Hybrid VNS/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. | |
| 520 | _aThis book constitutes the refereed proceedings of the 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, held in Kraków, Poland, in September 2010. The 131 revised full papers were carefully reviewed and selected from 232 submissions. The conference covers a wide range of topics, from evolutionary computation to swarm intelligence, from bio-inspired computing to real world applications. Machine learning and mathematical games supported by evolutionary algorithms as well as memetic, agent-oriented systems are also represented. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aComputer software. | |
| 650 | 0 | _aComputational complexity. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aOptical pattern recognition. | |
| 650 | 0 | _aBioinformatics. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aComputation by Abstract Devices. |
| 650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
| 650 | 2 | 4 | _aPattern Recognition. |
| 650 | 2 | 4 | _aDiscrete Mathematics in Computer Science. |
| 700 | 1 |
_aCotta, Carlos. _eeditor. |
|
| 700 | 1 |
_aKołodziej, Joanna. _eeditor. |
|
| 700 | 1 |
_aRudolph, Günter. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642158704 |
| 830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6239 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-15871-1 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-LNC | ||
| 999 |
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