Learning and Intelligent Optimization

Dr. Youssef Hamadi is the head of the Constraint Reasoning Group at Microsoft Research Cambridge, and his research interests include combinatorial optimization in alternative frameworks (parallel and distributed architectures); the application of machine learning to search; autonomous search; and parallel propositional satisfiability.

Iterative-Deepening Search with On-Line Tree Size Prediction.- A Learning Optimization Algorithm in Graph Theory: Versatile Search for Extremal Graphs Using a Learning Algorithm.- A Math-Heuristic Dantzig-Wolfe Algorithm for the Capacitated Lot Sizing Problem.- Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows.- Parallel Algorithm Configuration.- Community Detection in Social and Biological Networks Using Differential Evolution.- A Study on Large Population MOEA Using Adaptive -Box Dominance and Neighborhood Recombination for Many.- Objective Optimization.- A Non-adaptive Stochastic Local Search Algorithm High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games.- Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling.- Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data.- Quantifying Homogeneity of Instance Sets for Algorithm Configuration.- Automatically Configuring Algorithms for Scaling Performance.- Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper.- Influence of the Migration Period in Parallel Distributed Gas for Dynamic Optimization.- A Hyper-Heuristic Inspired by Pearl Hunting.- Five Phase and Genetic Hive Hyper-Heuristics for the Cross-Domain Search.- Implicit Model Selection Based on Variable Transformations in Estimation of Distribution.- Improving the Exploration in Upper Confidence Trees.- Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem.- Evaluation of a Family of Reinforcement Learning Cross-Domain Optimization Heuristics.-Effect of SMS-EMOA Parameterizations on Hypervolume Decreases. - Effects of Speciation on Evolution of Neural Networks in Highly Dynamic Environments.- Natural Max-SAT Encoding of Min-SAT. A New Hyperheuristic Algorithm for Cross-Domain Search Problems.- Brain Cine-MRI SequencesRegistration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm.- Global Optimization for Algebraic Geometry.- Clause Sharing in Parallel MaxSAT.- An Intelligent Hyper-Heuristic Framework for CHeSC 2011.