Learning and Intelligent Optimization

Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning.- An Improved BTK Algorithm Based on Cell-like P System with Active Membranes.-  A Simple Algorithmic Proof of the Symmetric Lopsided Lovász Local Lemma.- Creating a Multi-Iterative-Priority-Rule for the Job Shop Scheduling Problem with Focus on Tardy Jobs via Genetic Programming.- A Global Optimization Algorithm for Non-Convex Mixed-Integer Problems.-  Massive 2-opt and 3-opt Moves with High Performance GPU Local Search to Large-scale Traveling Salesman Problem.- Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimization Problems via Neural Networks.-  CAVE: Configuration Assessment, Visualization and Evaluation.-  The Accuracy of One Polynomial Algorithm for the Convergecast Scheduling Problem on a Square Grid with Rectangular Obstacles.-  An Effective Heuristic for a Single-Machine Scheduling Problem with Family Setups and Resource Constraints.-  Learning the Quality of Dispatch Heuristics Generated by Automated Programming.-  Explaining Heuristic Performance Differences for Vehicle Routing Problems with Time Windows.-  Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization under a Restricted Budget.- How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions.-  Solving Scalarized Subproblems Within Evolutionary Algorithms for Multi-Criteria Shortest Path Problems.-  Exact and Heuristic Approaches for the Longest Common Palindromic Subsequence Problem.- Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time.-  Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers.- Probability Estimation by An Adapted Genetic Algorithm in Web Insurance.-  Adaptive Multi-Objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem.-  Portfolio Optimization