Description
As technologies grow more complex, modeling and simulation of new intelligent systems becomes increasingly challenging and nuanced; specifically in diverse fields such as medicine, engineering, and computer science. Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications explores emerging technologies and best practices to effectively address concerns inherent in properly optimizing advanced systems. With applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies, this exceptional reference will serve as an important tool for decision makers, managers, researchers, economists, and industrialists across a wide range of scientific fields.
Chapter
Customer Relationship Management and Data Mining
Hybrid Optimization Techniques for Industrial Production Planning
Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems
Supply Chain Design Including Quality Considerations
Power Management in Microgrids
Metaheuristics Methods for Configuration of Assembly Lines
Population-Based vs. Single Point Search Meta-Heuristics for a PID Controller Tuning
Genetic Algorithms for Small Enterprises Default Prediction
The Use of Soft Computing in Management
Genetic Algorithms Quality Assessment Implementing Intuitionistic Fuzzy Logic
Melanocytic Lesions Screening through Particle Swarm Optimization
Quantification of Corporate Performance Using Fuzzy Analytic Network Process
Predicting Uncertain Behavior and Performance Analysis of the Pulping System in a Paper Industry using PSO and Fuzzy Methodology
Multi-Objective Generation Scheduling Using Genetic-Based Fuzzy Mathematical Programming Technique
Evaluation of Genetic Algorithm as Learning System in Rigid Space Interpretation
Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries
Investigating the Efficiency of GRASP for the SDST HFS with Controllable Processing Times and Assignable Due Dates
Three Scenarios in Microgrid to Solve Management Problem for Residential Application Using Genetic Algorithms
An On-Line PSO-Based Fuzzy Logic Tuning Approach
Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy
Metamodel-Based Optimum Design Examples of Structures
Applications of Reinforcement Learning and Bayesian Networks Algorithms to the Load-Frequency Control Problem
Non Linear and Non Gaussian States and Parameters Estimation using Bayesian Methods-Comparatives Studies
Multiscale Filtering and Applications to Chemical and Biological Systems
Hybrid Adaptive NeuroFuzzy Bspline Based SSSC Damping Control Paradigm
Modeling and Simulation of a Stand-Alone Hydrogen Photovoltaic Fuel Cell Hybrid System
Distributed Learning Algorithm Applications to the Scheduling of Wireless Sensor Networks
A Fuzzy Simulated Evolution Algorithm for Hard Problems
Fuzzy System Dynamics of Manpower Systems
Systems with Concentrating Solar Radiation
Widely Applicable Multi-Variate Decision Support Model for Market Trend Analysis and Prediction with Case Study in Retail
Compilation of References
Handbook of Research on Novel Soft Computing Intelligent Algorithms
：Theory and Practical Applications
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