1. Dr. T’s wonderful world of Evolutionary Computing ACM General Talk January 19 th 2012

2. Why you should care about Evolutionary Computing Real-World problems are often really hard Hard problems correspond to complex search landscapes Classical algorithms quit when the going gets tough Stochastic Algorithms such as Evolutionary Algorithms are robust problem solvers

3. GECCO 2011 papers on real-world applications of evolutionary algorithms Large Network Analysis for Fisheries Conservation using Coevolutionary Genetic Algorithms A Non-dominated Neighbor Immune Algorithm for Community Detection in Networks Evolutionary Optimization of Layouts for High Density Free Space Optical Network Links Improving Reputation Systems for Wireless Sensor Networks using Genetic Algorithms

4. GECCO 2011 papers on real-world applications of evolutionary algorithms An Evolutionary Approach to Design Dilation- Erosion Perceptrons for Stock Market Indices Forecasting Enhanced Rule Extraction and Classification Mechanism of Genetic Network Programming for Stock Trading Signal Generation Stock Trading using Linear Genetic Programming with Multiple Time Frames A Genetic Algorithm for the Freight Consolidation Problem with One-dimensional Container Loading

5. GECCO 2011 papers on real-world applications of evolutionary algorithms Coastal Current Prediction using CMA Evolution Strategies A Combination of Evolutionary Algorithm and Mathematical Programming for the 3D Thermal- Aware Floorplanning Problem Optimizing Ballast Design of Wave Energy Converters Using Evolutionary Algorithms Using Evolutionary Learning Classifiers To Do Mobile Spam (SMS) Filtering

6. GECCO 2011 papers on real-world applications of evolutionary algorithms Evolutionary Strategies for Identification and Validation of Material Model Parameters for Forming Simulations Using Differential Evolution to Optimize ‘Learning from Signals’ and Enhance Network Security Application of Evolutionary Algorithms in Detecting SMS Spam at Access Layer GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution

7. Dr. T’s evolutionary computing research Applications Algorithms Benchmarks