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Metaheuristic optimization in power engineering. Volume 1, Algorithms and Power Dispatch Using MATLAB®-Based Software /

A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.

Bibliographic Details
Main Author: Radosavljević, Jordan (Author)
Corporate Author: Knovel (Firm)
Format: eBook
Language:English
Published: Stevenage, United Kingdom : Institution of Engineering & Technology, 2024.
Edition:2nd edition.
Series:IET energy engineering series.
Subjects:
Metaheuristics.
Electric power production.
Métaheuristiques.
Électricité > Production.
electric power production.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1 Overview of metaheuristic optimization
  • 1.1 Introduction
  • 1.2 Definition of metaheuristics
  • 1.3 Classification of metaheuristics and bibliometric analysis
  • 1.4 Principle of population-based metaheuristics
  • 1.5 Evolutionary optimization algorithms
  • 1.5.1 Genetic algorithm
  • 1.5.2 Differential evolution
  • 1.5.3 Evolutionary programming
  • 1.5.4 Backtracking search algorithm
  • 1.6 Bio-inspired swarm intelligence algorithms
  • 1.6.1 Particle swarm optimization
  • 1.6.2 Ant colony optimization
  • 1.6.3 Artificial bee colony algorithm
  • 1.6.4 Cuckoo search algorithm
  • 1.6.5 Firefly algorithm
  • 1.6.6 Gray wolf optimizer
  • 1.6.7 Krill herd algorithm
  • 1.6.8 Bacterial colony foraging optimization
  • 1.6.9 Glowworm swarm optimization
  • 1.6.10 Differential search algorithm
  • 1.6.11 Marine predators algorithm
  • 1.6.12 Tunicate swarm algorithm.