Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

Author: Wei-Chiang Samuelson Hong  

Publisher: IGI Global‎

Publication year: 2013

E-ISBN: 9781466636293

P-ISBN(Paperback): 9781466636286

Subject: TP301.6 algorithm theory

Language: ENG

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Description

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.

Chapter

Reliability Allocation Problem in Series-Parallel Systems: Ant Colony Optimization

Feature Selection Based on Minimizing the Area Under the Detection Error Tradeoff Curve

Application of Genetic Algorithm to Minimize the Number of Objects Processed and Setup in a One-Dimensional Cutting Stock Problem

A Fast Boosting Based Incremental Genetic Algorithm for Mining Classification Rules in Large Datasets

Simultaneous Tolerance Synthesis for Manufacturing and Quality using Evolutionary Algorithms

Parallel Single and Multiple Objectives Genetic Algorithms: A Survey

Experimental Study on Recent Advances in Differential Evolution Algorithm

The Volatility for Pre and Post Global Financial Crisis: An Application of Computational Finance

Differential Operators Embedded Artificial Bee Colony Algorithm

Appropriate Evolutionary Algorithm for Scheduling in FMS

GBF Trained Neuro-Fuzzy Equalizer for Time Varying Channels

An Evolutionary Functional Link Neural Fuzzy Model for Financial Time Series Forecasting

Firm Size Transmission Effect and Price-Volume Relationship Analysis During Financial Tsunami Periods

Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set

LZW Encoding in Genetic Algorithm

Usage Profile Generation from Web Usage Data Using Hybrid Biclustering Algorithm

An Effective Hybrid Semi-Parametric Regression Strategy for Rainfall Forecasting Combining Linear and Nonlinear Regression

Compilation of References

About the Contributors

Index

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