Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary ComputationSamuelson Hong, Wei-Chiang Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field. |
Contents
Ant Colony Optimization | 1 |
Feature Selection Based on Minimizing the Area Under the Detection Error Tradeoff Curve | 16 |
Application of Genetic Algorithm to Minimize the Number of Objects Processed and Setup in a OneDimensional Cutting Stock Problem | 32 |
A Fast Boosting Based Incremental Genetic Algorithm for Mining Classification Rules in Large Datasets | 46 |
Simultaneous Tolerance Synthesis for Manufacturing and Quality using Evolutionary Algorithms | 54 |
A Survey | 73 |
Experimental Study on Recent Advances in Differential Evolution Algorithm | 111 |
An Application of Computational Finance | 134 |
An Evolutionary Functional Link Neural Fuzzy Model for Financial Time Series Forecasting | 189 |
Firm Size Transmission Effect and PriceVolume Relationship Analysis During Financial Tsunami Periods | 206 |
Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set | 226 |
LZW Encoding in Genetic Algorithm | 248 |
Usage Profile Generation from Web Usage Data Using Hybrid Biclustering Algorithm | 260 |
An Effective Hybrid SemiParametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression | 273 |
| 290 | |
About the Contributors | 320 |
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Modeling Applications and Theoretical Innovations in Interdisciplinary ... Wei-Chiang Samuelson Hong No preview available - 2013 |
Common terms and phrases
analysis applied approach artificial neural network bicluster BSE Sensex chromosome classification clustering components convergence crossover Cutting Stock Problem data set differential evolution distributed encoding Engineering Equation evaluation evolutionary algorithms Evolutionary Computation feature Figure fitness FLANN forecasting fuzzy genetic algorithm Guan Hong hybrid IEEE Transactions IGI Global India individuals input International Conference International Journal iris iteration learning linear LZWGA machine manufacturing cost mid-cap migration mtvDE multi-objective genetic algorithms multiobjective optimization mutation neural network nodes nonlinear objective function operations optimization problems output parameters Pareto particle swarm optimization patterns performance population Proceedings processors proposed method quality loss rainfall randomly regression reliability research period RLGA S&P CNX Nifty search space selection setup SingleGA10 small-cap solution solve stock market Suwannik Table Taiwan Technology tion tolerances trial vector University variables variants volatility volume Xi’an Jiaotong-Liverpool University