Simulated Evolution and Learning
-15%
portes grátis
Simulated Evolution and Learning
11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings
Jin, Yaochu; Zhang, Qingfu; Shi, Yuhui; Middendorf, Martin; Zhang, Mengjie; Tan, Kay Chen; Tang, Ke; Tan, Ying; Li, Xiaodong
Springer International Publishing AG
10/2017
1041
Mole
Inglês
9783319687582
15 a 20 dias
Descrição não disponível.
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 CapacitatedArc 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 onthree-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 PSOvariants 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning;artificial intelligence;evolutionary computation;genetic algorithms;evolutionary algorithms;particle swarm optimization;multiobjective optimization;genetic programming;pareto principle;computing methodologies;search technologies;modeling and simulation;algorithm design;algorithm analysis;evolutionary optimization;evolutionary learning;algorithm analysis and problem complexity
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 CapacitatedArc 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 onthree-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 PSOvariants 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning;artificial intelligence;evolutionary computation;genetic algorithms;evolutionary algorithms;particle swarm optimization;multiobjective optimization;genetic programming;pareto principle;computing methodologies;search technologies;modeling and simulation;algorithm design;algorithm analysis;evolutionary optimization;evolutionary learning;algorithm analysis and problem complexity
