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Advancements in Applied Metaheuristic Computing

Advancements in Applied Metaheuristic Computing

Essential Research Book for Advancements in Applied Metaheuristic Computing

Author(s) Name:  Nilanjan Dey

About the Book:

   Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems.
   Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.

Table of Contents

  • Multi-Objective Optimal Power Flow Using Metaheuristic Optimization Algorithms With Unified Power Flow Controller to Enhance the Power System Performance
  • Analyzing and Predicting the QoS of Traffic in WiMAX Network Using Gene Expression Programming
  • Chaotic Differential-Evolution-Based Fuzzy Contrast Stretching Method
  • Protein Motif Comparator Using Bio-Inspired Two-Way K-Means
  • Metaheuristics in Manufacturing: Predictive Modeling of Tool Wear in Machining Using Genetic Programming
  • Intelligent Computing in Medical Imaging: A Study
  • Effect of SMES Unit in AGC of an Interconnected Multi-Area Thermal Power System With ACO-Tuned PID Controller
  • Meta-Heuristic Algorithms in Medical Image Segmentation: A Review
  • Optimized Crossover JumpX in Genetic Algorithm for General Routing Problems: A Crossover Survey and Enhancement
  • On Developing and Performance Evaluation of Adaptive Second Order Neural Network With GA-Based Training (ASONN-GA) for Financial Time Series Prediction
  • Hybrid Non-Dominated Sorting Genetic Algorithm: II-Neural Network Approach
  • ISBN:  9781522541516

    Publisher:  IGI Global

    Year of Publication:  2017

    Book Link:  Home Page Url