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Metaheuristic and Evolutionary Computation: Algorithms and Applications

Metaheuristic and Evolutionary Computation: Algorithms and Applications

Great Research Book in Metaheuristic and Evolutionary Computation: Algorithms and Applications

Author(s) Name:  Hasmat MalikAtif, Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh

About the Book:

   This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the books second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference.
   Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.

Table of Contents

  • Introduction: Optimization and Metaheuristics Algorithms
  • Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms
  • Tackling Power Quality Issues Using Metaheuristics
  • Meta-Heuristic Application in Suppression of Noise
  • Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications
  • Energy Management System for Hybrid Energy System: Renewable Integration, Modeling and Optimization, Control Aspects and Conceptual Framework
  • Introduction to Renewable Energy Market and Metaheuristic Algorithms for Condition Monitoring of Photovoltaic Parameter Estimation
  • Data-Driven Occupancy Detection Hybrid Model Using Particle Swarm Optimization Based Artificial Neural Network
  • A Maiden Application of Competitive Swarm Optimizer for Solution of Economic Load Dispatch with Parameter Estimation
  • Application of Multi-objective Hybrid DE-PSO Optimization Technique for Network Congestion Management Through Distributed Energy Storage System
  • Optimization Solutions Using Particle Swarm Optimization in Power Systems

    • ISBN:  978-981-15-7571-6

    Publisher:  Springer

    Year of Publication:  2021

    Book Link:  Home Page Url