Description
Book Synopsis.- A Runtime Analysis of the Multi-Valued Compact Genetic Algorithm on Generalized LeadingOnes.
.- Evolutionary Anytime Algorithms.
.- Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining.
.- Diversification through Candidate Sampling for a Non-Iterated Lin-Kernighan-Helsgaun Algorithm.
.- Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem.
.- Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems.
.- A Selective Vehicle Routing Problem for the Bloodmobile System.
.- A Genetic Approach to the Operational Freight-on-Transit problem.
.- LON/D — Sub-problem Landscape Analysis in Decomposition-based Multi-objective Optimization.
.- Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning.
.- Mixed-Binary Problems Optimized with Fast Discrete Solver.
.- Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems.
.- Adaptive neighborhood search based on landscape learning: a TSP study.
.- Healthcare Facility Location Problem and Fitness Landscape Analysis.
.- Generating (Semi-)Active Schedules for Dynamic Multi-mode Project Scheduling Using Genetic Programming Hyper-heuristics.
.- Price-and-branch Heuristic for Vector Bin Packing.
