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