Learning and Intelligent Optimization: 12th International Conference, LION 12, Kalamata, Greece, June 1015, 2018, Revised Selected Papers 2019 ed. [Pehme köide]

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 Lovįsz 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 Viaa Surrogate Risk Measure:
Conditional Desirability Value at Risk (CDVaR).-  Rover Descent: Learning to
Optimize by Learning to Navigate on Prototypical Loss Surfaces.-  Analysis of
Algorithm Components and Parameters: Some Case Studies.- Optimality of
Multiple Decision Statistical Procedure for Gaussian Graphical : Model
Selection.-  Hyper-Reactive Tabu Search for MaxSAT.- Exact Algorithms for Two
Quadratic Euclidean Problems of Searching for the Largest Subset and Longest
Subsequence.-  A Restarting Rule Based on the Schnabel Census for Genetic
Algorithms.-Intelligent Pump Scheduling Optimization in Water Distribution
Networks Detecting Patterns in Benchmark Instances of the Swap-body Vehicle
Routing Problem.-  Evolutionary Deep Learning for Car Park Occupancy
Prediction in Smart Cities.-  Asymptotically Optimal Algorithm for the
Maximum m-Peripatetic Salesman Problem in a Normed Space.- Computational
Intelligence for Locating Garbage Accumulation Pointsin Urban Scenarios.-
Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in
Kalimantan.- Calibration of a Water Distribution Network with Limited Field
Measures: the Case Study of Castellammare di Stabia (Naples, Italy).-
 Combinatorial Methods for Testing Communication Protocols in Smart Cities.-
 Pseudo-pyramidal Tours and Efficient Solvability of the Euclidean
Generalized Traveling Salesman Problem in Grid Clusters.- Constant Factor
Approximation for Intersecting Line Segments with Disks.- Scheduling
Deteriorating Jobs and Module Changes with Incompatible Job Families on
Parallel Machines Using a Hybrid SADE-AFSA Algorithm.