Room 7 Schedule

First Day: June 6, 2017

09:45-10:45: Industry-Standard EC Applications: Successes and Challenges

• Evolutionary Optimization of Weight Coefficients of Power Spectrum for Detection of Driver-induced Steering Oscillation
• Use of Derived Heuristics in Improved Performance of Evolutionary Optimization: An Application to Gold Processing Plant
• Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system

11:15-13:15: Memetic Computing

• Evolutionary Multi-task Learning for Modular Extremal Learning Machine
• Scatter Search for Distributed Assembly Flowshop Scheduling to Minimize Total Tardiness
• EDA based Probabilistic Memetic Algorithm for Distributed Blocking Permutation Flowshop Scheduling with Sequence Dependent Setup Time
• Iterated Local Search for Distributed Multiple Assembly No-wait Flowshop Scheduling
• Multi-objective memetic algorithm based on request prediction for dynamic pickup-and-delivery problems
• Team Effectiveness Based Optimization: A Human-inspired Metaheuristic Algorithm

14:30-16:30: Evolutionary Computation for Automated Algorithm Design

• A Study of Agnostic Hyper-heuristics based on Sampling Solution Chains
• A Multi-Armed Bandit Selection Strategy for Hyper-heuristics
• A Study on Auto-configuration of Multi-objective Particle Swarm Optimization Algorithm
• Data Sampling through Collaborative Filtering for Algorithm Selection
• Improving Hyper-heuristic Performance Through Feature Transformation
• Evolutionary Multilabel Hyper-Heuristic Design

Second Day: June 7, 2017

09:45-10:45: Evolutionary Methods and Machine Learning: Data Preprocessing, Learning Models and Their Applications II

• Nature-inspired Approaches for Distance Metric Learning in Multivariate Time Series Classification
• A First Attempt on Global Evolutionary Undersampling for Imbalanced Big Data
• Full Model Selection issue in Temporal Data through Evolutionary Algorithms: A Brief Review

11:15-13:15: Parallel and Distributed Algorithms

• A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming Problem
• PasMoQAP: A Parallel Asynchronous Memetic Algorithm for solving the Multi-Objective Quadratic Assignment Problem
• Performance Comparison of Parallel Asynchronous Multi-Objective Evolutionary Algorithm with Different Asynchrony
• D-BRKGA: a Distributed Biased Random-Key Genetic Algorithm
• Speed-up of Synchronous and Asynchronous Distributed Genetic Algorithms: A First Common Approach on Multiprocessors
• A GPU-based Implementation of Brain Storm Optimization

14:30-16:30: Real-World Applications I

• Tuning of a Stigmergy-based Traffic Light Controller as a Dynamic Optimization Problem
• Evolutionary approaches for surgical path planning: a quantitative study on Deep Brain Stimulation
• Residual Dose Deviation Differential Histogram Analysis Using Evolutionary-Optimized Transform Parameters for Dose Distribution Warping in Patient-Specific Quality Assurance in External Beam Radiation Therapy
• Learning of a Tracker Model from Multi-Radar Data for Performance Prediction of Air Surveillance System
• G-DMP: An algorithm without Constraint Relaxation to solve the Train Departure Matching Problem
• Optimization of Representation for Extracting Knowledge from Ultra-High Frequency Time Series

Third Day: June 8, 2017

09:45-10:45: Large Scale Optimization

• Schematic Study on Interaction and Imbalance Effects of Variables for Large-scale Optimization
• On the scalability of population restart mechanisms on large-scale global optimization
• Large-scale Cooperative Co-evolution with Bi-objective Selection Based Imbalanced Multi-Modal Optimization

11:15-13:15: Heuristics, Metaheuristics and Hyper-Heuristics II

• Variable Neighborhood Search for the Large Phylogeny Problem using Gene Order Data
• Clustering-Based Evolution Control for Surrogate-Assisted Particle Swarm Optimization
• An Empirical Study of Multifactorial PSO and Multifactorial DE
• Proving Theorems by Using Evolutionary Search with Human Involvement
• Accelerating Artificial Bee Colony Algorithm with Neighborhood Search
• Declustering of an Earthquake Catalog Based on Ergodicity using Parallel Grey Wolf Optimization

14:30-16:30: Differential Evolution

• SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem
• A Gaussian Mixture Model Based Local Search for Differential Evolution Algorithm
• Analyzing Effects of Ordering Vectors in Mutation Schemes on Performance of Differential Evolution
• Using Discrete Differential Evolution and Entropy to Solve the MRCPSP
• A Noise Resilient Differential Evolution with Improved Parameter and Strategy Control
• Designing artificial neural networks using differential evolution for classifying DNA microarrays

17:00-18:00: Evolved Neural Networks

• A Tensor-based Mutation Operator for Neuroevolution of Augmenting Topologies (NEAT)
• How to Best Automate Intersection Management
• Automatic Generation of Neural Networks with Structured Grammatical Evolution