Kooperativer Bibliotheksverbund

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Format: XXII, 1041 p. 317 illus. , online resource.

ISBN: 9783319687599

Series Statement: Lecture Notes in Computer Science, 10593

Content: This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017.  The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Note: Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective Capacitated Arc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based on three-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSO variants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization.  .

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783319687582

Language: English

Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-319-68759-9

URL: http://dx.doi.org/10.1007/978-3-319-68759-9

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (URL des Erstveröffentlichers)

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URL: Cover

UID:

Format: XII, 264 p. 62 illus. , online resource.

ISBN: 9783642291241

Series Statement: Lecture Notes in Computer Science, 7245

Content: This book constitutes the refereed proceedings of the 12th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. . The 22 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642291234

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-642-29124-1

URL: http://dx.doi.org/10.1007/978-3-642-29124-1

URL: Volltext

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URL: Volltext

URL: Inhaltsverzeichnis

URL: Inhaltstext

UID:

Format: XII, 275 p. 57 illus. , online resource.

ISBN: 9783642371981

Series Statement: Lecture Notes in Computer Science, 7832

Content: This book constitutes the refereed proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. The 23 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are ant colony optimization, evolutionary algorithms, greedy randomized adaptive search procedures, iterated local search, simulated annealing, tabu search, and variable neighborhood search. Applications include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satisfiability, and general mixed integer programming.

Note: A Hyper-heuristic with a Round Robin Neighbourhood -- A Multiobjective Approach Based on the Law of Gravity and Mass Interactions for Optimizing Networks -- A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory -- A New Crossover for Solving Constraint Satisfaction Problems -- A Population-Based Strategic Oscillation Algorithm for Linear Ordering Problem with Cumulative Costs -- A Study of Adaptive Perturbation Strategy for Iterated Local Search -- Adaptive MOEA/D for QoS-Based Web Service Composition -- An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem -- An Artificial Immune System Based Approach for Solving the Nurse Re-rostering Problem -- Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis -- Balancing Bicycle Sharing Systems: A Variable Neighborhood Search Approach -- Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem -- Dynamic Evolutionary Membrane Algorithm in Dynamic Environments -- From Sequential to Parallel Local Search for SAT -- Generalizing Hyper-heuristics via Apprenticeship Learning -- High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem -- Investigating Monte-Carlo Methods on the Weak Schur Problem -- Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches -- Predicting Genetic Algorithm Performance on the Vehicle Routing Problem Using Information Theoretic Landscape -- Single Line Train Scheduling with ACO -- Solving Clique Covering in Very Large Sparse Random Graphs by a Technique Based on k-Fixed Coloring Tabu Search -- Solving the Virtual Network Mapping Problem with Construction Heuristics, Local Search and Variable Neighborhood Descent -- The Generate-and-Solve Framework Revisited: Generating by Simulated Annealing.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783642371974

Language: English

Subjects: Computer Science

Keywords: Konferenzschrift ; Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-642-37198-1

URL: http://dx.doi.org/10.1007/978-3-642-37198-1

URL: Volltext

URL: Inhaltsverzeichnis

URL: Abstract

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URL: Inhaltstext

UID:

Format: XII, 275 S. : , graph. Darst.

ISBN: 3-642-37197-3 , 978-3-642-37197-4

Series Statement: Lecture Notes in Computer Science 7832

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-642-37198-1

Language: English

Subjects: Computer Science

Keywords: Kombinatorische Optimierung ; Evolutionärer Algorithmus ; Metaheuristik ; Konferenzschrift

URL: Inhaltstext

URL: Inhaltsverzeichnis

UID:

Format: XXI, 708 p. , online resource.

ISBN: 9783540366058

Series Statement: Lecture Notes in Computer Science, 2611

Content: This book constitutes the joint refereed proceedings of six workshops, EvoWorkshops 2003, held together with EuroGP 2003 in Essex, UK in April 2003. The 63 revised full papers presented were carefully reviewed and selected from a total of 109 submissions. In accordance with the six workshops covered , the papers are organized in topical sections on bioinformatics, combinatorial optimization, image analysis and signal processing, evolutionary music and art, evolutionary robotics, and scheduling and timetabling.

Note: EvoBIO Contributions -- Artificial Immune System for Classification of Cancer -- Pattern Search in Molecules with FANS: Preliminary Results -- Applying Memetic Algorithms to the Analysis of Microarray Data -- Gene Network Reconstruction Using a Distributed Genetic Algorithm with a Backprop Local Search -- Promoter Prediction with a GP-Automaton -- Chromosomal Breakpoint Detection in Human Cancer -- Discovering Haplotypes in Linkage Disequilibrium Mapping with an Adaptive Genetic Algorithm -- Genetic Algorithms for Gene Expression Analysis -- Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery -- Cross Validation Consistency for the Assessment of Genetic Programming Results in Microarray Studies -- Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification -- Generalisation and Model Selection in Supervised Learning with Evolutionary Computation -- EvoCOP Contributions -- Genetic Algorithms on NK-Landscapes: Effects of Selection, Drift, Mutation, and Recombination -- Multilevel Heuristic Algorithm for Graph Partitioning -- Experimental Comparison of Two Evolutionary Algorithms for the Independent Set Problem -- New Ideas for Applying Ant Colony Optimization to the Probabilistic TSP -- An Experimental Comparison of Two Different Encoding Schemes for the Location of Base Stations in Cellular Networks -- Landscape State Machines: Tools for Evolutionary Algorithm Performance Analyses and Landscape/Algorithm Mapping -- Constrained Coverage Optimisation for Mobile Cellular Networks -- Combinations of Local Search and Exact Algorithms -- On Confidence Intervals for the Number of Local Optima -- Searching for Maximum Cliques with Ant Colony Optimization -- A Study of Greedy, Local Search, and Ant Colony Optimization Approaches for Car Sequencing Problems -- Evolutionary Computing for the Satisfiability Problem -- Guiding Single-Objective Optimization Using Multi-objective Methods -- A Genetic Algorithm for the Index Selection Problem -- A Template Approach to Producing Incremental Objective Cost Functions for Local Search Meta-heuristics -- Analyzing a Unified Ant System for the VRP and Some of Its Variants -- Adapting to Complexity During Search in Combinatorial Landscapes -- Search Space Analysis of the Linear Ordering Problem -- Ant Algorithms for the University Course Timetabling Problem with Regard to the State-of-the-Art -- EvoIASP Contributions -- Multiple Genetic Snakes for Bone Segmentation -- Mobile Robot Sensor Fusion Using Flies -- Anticipating Bankruptcy Reorganisation from Raw Financial Data Using Grammatical Evolution -- GAME-HDL: Implementation of Evolutionary Algorithms Using Hardware Description Languages -- Evolutionary Approach to Discovery of Classification Rules from Remote Sensing Images -- Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems -- Accurate L-Corner Measurement Using USEF Functions and Evolutionary Algorithms -- On Two Approaches to Image Processing Algorithm Design for Binary Images Using GP -- Restoration of Old Documents with Genetic Algorithms -- The Effectiveness of Cost Based Subtree Caching Mechanisms in Typed Genetic Programming for Image Segmentation -- Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection -- EvoMUSART Contributions -- The Emergence of Social Learning in Artificial Societies -- Tabula Rasa: A Case Study in Evolutionary Curation -- MusicBlox: A Real-Time Algorithmic Composition System Incorporating a Distributed Interactive Genetic Algorithm -- Towards a Prehistory of Evolutionary and Adaptive Computation in Music -- ArtiE-Fract: The Artist’s Viewpoint -- Evolutionary Music and the Zipf-Mandelbrot Law: Developing Fitness Functions for Pleasant Music -- Genophone: Evolving Sounds and Integral Performance Parameter Mappings -- Genetic Improvisation Model A Framework for Real-Time Performance Environments -- On the Development of Critics in Evolutionary Computation Artists -- Genetic Algorithms for the Generation of Models with Micropopulations -- EvoROB Contributions -- Evolution of Collective Behavior in a Team of Physically Linked Robots -- Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs -- Competitive Co-evolution of Predator and Prey Sensory-Motor Systems -- Evolving Spiking Neuron Controllers for Phototaxis and Phonotaxis -- Evolving Neural Networks for the Control of a Lenticular Blimp -- Evolving Symbolic Controllers -- Evolving Motion of Robots with Muscles -- Behavioural Plasticity in Autonomous Agents: A Comparison between Two Types of Controller -- EvoSTIM Contributions -- DNA Based Algorithms for Some Scheduling Problems -- Learning Action Strategies for Planning Domains Using Genetic Programming -- Routing Using Evolutionary Agents and Proactive Transactions.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783540009764

Language: English

DOI: 10.1007/3-540-36605-9

URL: http://dx.doi.org/10.1007/3-540-36605-9

UID:

Format: 150 S. , graph. Darst.

Note: Hannover, Univ., Diss., 1992

Language: German

Keywords: Wortmenge ; Berechnungskomplexität ; Einbettungsproblem ; Hochschulschrift ; Wortmenge

UID:

Format: 150 S. : graph. Darst.

Note: Hannover, Univ., Diss., 1992

Language: German

Keywords: Berechnungskomplexität ; Einbettungsproblem ; Hochschulschrift ; Wortmenge

UID:

Format: XIV, 346 p. , online resource.

ISBN: 9783540460046

Series Statement: Lecture Notes in Computer Science, 2279

Content: This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.

Note: EvoCOP Talks -- Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation -- SavingsAnts for the Vehicle Routing Problem -- Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods -- Non-parametric Estimation of Properties of Combinatorial Landscapes -- Performance of Evolutionary Approaches for Parallel Task Scheduling under Different Representations -- A Performance Comparison of Alternative Heuristics for the Flow Shop Scheduling Problem -- Exploiting Fitness Distance Correlation of Set Covering Problems -- A Population Based Approach for ACO -- Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation -- Application of Genetic Algorithms in Nanoscience: Cluster Geometry Optimization -- A Memetic Algorithm for Vertex-Biconnectivity Augmentation -- Genetic, Iterated and Multistart Local Search for the Maximum Clique Problem -- An Experimental Investigation of Iterated Local Search for Coloring Graphs -- Solving Car Sequencing Problems by Local Optimization -- Evolution Strategies, Network Random Keys, and the One-Max Tree Problem -- Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema -- Boosting ACO with a Preprocessing Step -- A Memetic Algorithm Guided by Quicksortfor the Error-Correcting Graph Isomorphism Problem -- EvoIASP Talks -- Evolutionary Techniques for Minimizing Test Signals Application Time -- Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming -- Using EAs for Error Prediction in Near Infrared Spectroscopy -- The Prediction of Journey Times on Motorways Using Genetic Programming -- The Boru Data Crawler for Object Detection Tasks in Machine Vision -- Surface Profile Reconstruction from Scattered Intensity Data Using Evolutionary Strategies -- Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming -- Image Filter Design with Evolvable Hardware -- A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal Processing Hardware Architecture -- Efficiently Computable Fitness Functions for Binary Image Evolution -- Evolutionary Based Autocalibration from the Fundamental Matrix -- Medical Image Registration Using Parallel Genetic Algorithms -- EvoSTIM/EvoPLAN Talks -- Disruption Management for an Airline — Rescheduling of Aircraft -- Ant Colony Optimization with the Relative Pheromone Evaluation Method -- Improving Street Based Routing Using Building Block Mutations.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783540434320

Language: English

DOI: 10.1007/3-540-46004-7

URL: http://dx.doi.org/10.1007/3-540-46004-7

UID:

Format: 150 S. : graph. Darst.

Note: Hannover, Univ., Diss., 1992

Language: German

Keywords: Berechnungskomplexität ; Einbettungsproblem ; Hochschulschrift ; Wortmenge

UID:

Format: XIV, 346 p. , online resource.

Edition: 1st ed. 2002.

ISBN: 9783540460046

Series Statement: Lecture Notes in Computer Science, 2279

Content: This book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning.

Note: EvoCOP Talks -- Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation -- SavingsAnts for the Vehicle Routing Problem -- Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods -- Non-parametric Estimation of Properties of Combinatorial Landscapes -- Performance of Evolutionary Approaches for Parallel Task Scheduling under Different Representations -- A Performance Comparison of Alternative Heuristics for the Flow Shop Scheduling Problem -- Exploiting Fitness Distance Correlation of Set Covering Problems -- A Population Based Approach for ACO -- Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation -- Application of Genetic Algorithms in Nanoscience: Cluster Geometry Optimization -- A Memetic Algorithm for Vertex-Biconnectivity Augmentation -- Genetic, Iterated and Multistart Local Search for the Maximum Clique Problem -- An Experimental Investigation of Iterated Local Search for Coloring Graphs -- Solving Car Sequencing Problems by Local Optimization -- Evolution Strategies, Network Random Keys, and the One-Max Tree Problem -- Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema -- Boosting ACO with a Preprocessing Step -- A Memetic Algorithm Guided by Quicksortfor the Error-Correcting Graph Isomorphism Problem -- EvoIASP Talks -- Evolutionary Techniques for Minimizing Test Signals Application Time -- Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming -- Using EAs for Error Prediction in Near Infrared Spectroscopy -- The Prediction of Journey Times on Motorways Using Genetic Programming -- The Boru Data Crawler for Object Detection Tasks in Machine Vision -- Surface Profile Reconstruction from Scattered Intensity Data Using Evolutionary Strategies -- Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming -- Image Filter Design with Evolvable Hardware -- A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal Processing Hardware Architecture -- Efficiently Computable Fitness Functions for Binary Image Evolution -- Evolutionary Based Autocalibration from the Fundamental Matrix -- Medical Image Registration Using Parallel Genetic Algorithms -- EvoSTIM/EvoPLAN Talks -- Disruption Management for an Airline - Rescheduling of Aircraft -- Ant Colony Optimization with the Relative Pheromone Evaluation Method -- Improving Street Based Routing Using Building Block Mutations.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783662174425

Additional Edition: Printed edition: ISBN 9783540434320

Language: English

DOI: 10.1007/3-540-46004-7

URL: https://doi.org/10.1007/3-540-46004-7