Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Shi, Yuhui. (Editor), Tan, Kay Chen. (Editor), Zhang, Mengjie. (Editor), Tang, Ke. (Editor), Li, Xiaodong. (Editor), Zhang, Qingfu. (Editor), Tan, Ying. (Editor), Middendorf, Martin. (Editor), Jin, Yaochu. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Theoretical Computer Science and General Issues ; 10593
Subjects:
Table of Contents:
  • 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.  .