Room 4 Schedule

First Day: June 6, 2017

11:15-13:15: Associated with Competition on Bound Constrained Single Objective Numerical Optimization II

• A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark
• A Unified Differential Evolution Algorithm for Constrained Optimization Problems
• Single Objective Real-Parameter Optimization: Algorithm jSO
• Multi-method based Orthogonal Experimental Design Algorithm for Solving CEC2017 Competition Problems
• Enhanced Individual-dependent Differential Evolution with Population Size Adaptation
• A Simple Framework for Constrained Problems with Application of L-SHADE44 and IDE

14:30-16:30: Associated with Competition on Bound Constrained Single Objective Numerical Optimization III

• L-SHADE with Competing Strategies Applied to Constrained Optimization
• A Differential Evolution Strategy
• Differential Evolution with Preferential Interaction Network
• Proactive Particles in Swarm Optimization: a Settings-Free Algorithm for Real-Parameter Single Objective Optimization Problems
• Dynamic Yin-Yang Pair Optimization and its Performance on Single Objective Real Parameter Problems of CEC 2017
• Adaptive Constraint Handling and Success History Differential Evolution for CEC 2017 Constrained Real-Parameter Optimization

Second Day: June 7, 2017

09:45-10:45: Associated with Competition on Bound Constrained Single Objective Numerical Optimization

• Weighted Empirical Distribution based Approach to Chance Constrained Optimization Problems using Differential Evolution
• LSHADE with Semi-Parameter Adaptation Hybrid with CMA-ES for Solving CEC 2017 Benchmark Problems
• Ensemble Sinusoidal Differential Covariance Matrix Adaptation with Euclidean Neighborhood for Solving CEC2017 Benchmark Problems
• Analysis among winners of different IEEE CEC competitions on Real-parameters Optimization: Is there always improvement?
• Teaching Learning Based Optimization with Focused Learning and its Performance on CEC2017 functions
• Development of a Higher Order Cognitive Optimization Algorithm

11:15-13:15: Multiobjective Optimization I

• Efficient Nonlinear Correlation Detection for Decomposed Search in Evolutionary Multi-Objective Optimization
• An algorithm for a class of real-life multi-objective optimization problems with a sweeping objective
• A Modified Indicator-based Evolutionary Algorithm (mIBEA)
• Challenges for Evolutionary Multi-objective Optimization Algorithms in Solving Variable-length Problems
• Improving the Integration of the IGD+ Indicator into the Selection Mechanism of a Multi-objective Evolutionary Algorithm
• A Closer Look to Elitism in epsilon-Dominance Many-objective Optimization

14:30-16:30: Multiobjective Optimization II

• On Multi-Objective Efficient Global Optimization via Universal Kriging Surrogate Model
• A Decomposition based Multiobjective Evolutionary Algorithm with Semi-Supervised Classification
• Dynamic Distance Minimization Problems for dynamic Multi-objective Optimization
• A Comparative Study of Multiobjective Evolutionary Algorithms for Wireless Local Area Network Design
• Multi Objective Skylight Optimization for a Healthcare Facility Foyer Space
• Ranking Multi-Objective Evolutionary Algorithms using a Chess Rating System with Quality Indicator Ensemble

Third Day: June 8, 2017

09:45-10:45: Medical and Healthcare Applications of Evolutionary Computation

• A Novel Approach for Hepatocellular Carcinoma Detection and Classification Based on Triphasic CT Protocol
• Data Augmentation and Evolutionary Algorithms to Improve the Prediction of Blood Glucose Levels in Scarcity of Training Data
• Optimizing EEG Energy-based Seizure Detection using Genetic Algorithms

11:15-13:15: Multiobjective Optimization III

• A virtual-decision-maker library considering personalities and dynamically changing preference structures for interactive multiobjective optimization
• Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks
• A New Approach to Target Region Based Multiobjective Evolutionary Algorithms
• Effect of Size and Order of Variables in Rules for Multi-Objective Repair-Based Innovization Procedure
• Differential Evolution Induced Many Objective Optimization
• Evolutionary Multi-objective Optimization Made Faster by Sequential Decomposition

14:30-16:30: Evolutionary Many-Objective Optimization

• Comparison of Visualization Approaches in Many-objective Optimization
• Global View-based Selection Mechanism for Many-objective Evolutionary Algorithms
• Combining CMA-ES and MOEA/DD for many-objective optimization
• Knee Point Analysis of Many-Objective Pareto Fronts Based on Reeb Graph
• Multi-Swarm Algorithm Based on Archiving and Topologies for Many-Objective Optimization
• Fusion-based Hybrid Many-objective Optimization Algorithm

17:00-18:00: Nature Inspired Computation in Navigation and Vehicle Routing

• Nature-inspired Heuristics for the Multiple-Vehicle Selective Pickup and Delivery Problem under Maximum Profit and Incentive Fairness Criteria
• Enhanced Firefly Algorithm for Constrained Numerical Optimization
• Tackling Dynamic Vehicle Routing Problem with Time Windows by means of Ant Colony System