Learning and intelligent optimization

InhaltsverzeichnisMain Track (Regular Papers).A Column Generation Heuristic for the General Vehicle Routing Problem.A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure for the Just-In-Time Job-Shop Scheduling Problem.A Math-Heuristic Algorithm for the DNA Sequencing Problem.A Randomized Iterated Greedy Algorithm for the Founder Sequence Reconstruction Problem.Adaptive “Anytime” Two-Phase Local Search.Adaptive Filter SQP.Algorithm Selection as a Bandit Problem with Unbounded Losses.Bandit-Based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis.Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search.Distance Functions, Clustering Algorithms and Microarray Data Analysis.Gaussian Process Assisted Particle Swarm Optimization.Learning of Highly-Filtered Data Manifold Using Spectral Methods.Multiclass Visual Classifier Based on Bipartite Graph Representation of Decision Tables.Main Track (Short Papers).A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem.A Multilevel Scheme with Adaptive Memory Strategy for Multiway Graph Partitioning.A Network Approach for Restructuring the Korean Freight Railway Considering Customer Behavior.A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference.Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters.Generative Topographic Mapping for Dimension Reduction in Engineering Design.Learning Decision Trees for the Analysis of Optimization Heuristics.On the Coordination of Multidisciplinary Design Optimization Using Expert Systems.On the Potentials of Parallelizing Large Neighbourhood Search forRich Vehicle Routing Problems.Optimized Ensembles for Clustering Noisy Data.Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins.Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers.Special Session: LION-SWOP.Grapheur: A Software Architecture for Reactive and Interactive Optimization.The EvA2 Optimization Framework.Special Session: LION-CCEC.Feature Extraction from Optimization Data via DataModeler’s Ensemble Symbolic Regression.Special Session: LION-PP.Understanding TSP Difficulty by Learning from Evolved Instances.Time-Bounded Sequential Parameter Optimization.Pitfalls in Instance Generation for Udine Timetabling.Special Session: LION-MOME.A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D.An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones.On the Distribution of EMOA Hypervolumes.Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer.