Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics

Evolutionary Dynamics of Extremal Optimization.- Evolutionary Dynamics of Extremal Optimization.- A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing.- Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks.- New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory.- Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows.- Flexible Stochastic Local Search for Haplotype Inference.- A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance.- Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem.- An ACO-Based Reactive Framework for Ant Colony Optimization: First Experiments on Constraint Satisfaction Problems.- Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines.- Position-Guided Tabu Search Algorithm for the Graph Coloring Problem.- Corridor Selection and Fine Tuning for the Corridor Method.- Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms.- Comparison of Coarsening Schemes for Multilevel Graph Partitioning.- Cooperative Strategies and Reactive Search: A Hybrid Model Proposal.- Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.- MALIOB Workshop Papers.- Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment.- A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps.- Substitution Matrices and Mutual Information Approaches to Modeling Evolution.