Everything About Metaheuristic Optimization

Everything About Metaheuristic Optimization
Algorithms Inspired by Nature

Mathematical, Statistical and Computational Modelling for Engineering

Everything About Metaheuristic Optimization
Algorithms Inspired by Nature Forthcoming

Author: Utkarsh Mahadeo Khaire, Indian Institute of Information Technology Dharwad, India

ISBN: 9788743814924 (Hardback) e-ISBN: 9788743814931

Available: March 2027

Everything About Metaheuristic Optimization provides a comprehensive overview and structured analysis of contemporary metaheuristic algorithms inspired by natural phenomena. Real-world optimization problems are often complex, involving nonlinearity and intricate constraints that cause traditional mathematical methods to fail. This book explores how nature-inspired algorithms overcome these hurdles by balancing exploration and exploitation to efficiently navigate large solution spaces.

Designed for researchers, data scientists, and engineers, this monograph connects the biological, physical, and human-behavioral inspirations of over 50 algorithms to their practical mathematical formulations. From swarm intelligence to artifact-inspired models, readers will gain a deep understanding of how to apply these powerful stochastic techniques to solve complex optimization challenges across scientific and industrial domains.

Metaheuristic optimization, nature-inspired algorithms, swarm intelligence, evolutionary algorithms, bio-inspired computing, global search, exploitation and exploration, stochastic optimization.
  • Introduction

Part I: Algorithms Inspired By Animals

  • Cuckoo Search
  • Lion Optimization Algorithm
  • Aquila Optimization
  • Hunger Games Search
  • Komodo Mlipir Algorithm
  • Flying Foxes Optimization

Part I: Algorithms Inspired By Animals

  • Cuckoo Search
  • Lion Optimization Algorithm
  • Aquila Optimization
  • Hunger Games Search
  • Komodo Mlipir Algorithm
  • Flying Foxes Optimization

Part II: Algorithms Inspired By Artifacts

  • Drone Squadron Optimization
  • Color Harmony Algorithm

Part III: Bio-Inspired Algorithms

  • Flower Pollination Algorithm
  • Coral Reefs Optimization
  • Slime Mould Algorithm

Part IV: Algorithms Based on Chemistry

  • Ideal Gas Molecular Movement
  • Henry Gas Solubility Optimization
  • Equilibrium Optimizer

Part V: Evolutionary Algorithms

  • Genetic Algorithms
  • Cultural Algorithm
  • Differential Evolution

Part VI: Algorithms Based on Human Behaviour

  • Harmony Search Algorithm
  • Teaching Learning-based Optimization
  • Human Behavior-based Optimization
  • Ideology Algorithm
  • Farmland Fertility
  • Future Search Algorithm
  • Coronavirus Herd Immunity Optimizer
  • Giza Pyramids Construction
  • Group Teaching Optimization Algorithm
  • Heap-based Optimizer

Part VII: Algorithms Inspired By Mathematics

  • Sine Cosine Algorithm
  • Golden Ratio Optimization

Part VIII: Algorithms Inspired By Physics

  • Gravitational Search Algorithm
  • Water Cycle Algorithm
  • Lightning Search Algorithm
  • Thermal Exchange Optimization

Part IX: Algorithms Inspired By Sports

  • Volleyball Premier League
  • Ludo Game-based Swarm Intelligence

Part X: Algorithms Inspired By Swarm Intelligence

  • Ant Colony Optimization
  • Particle Swarm Optimization
  • Artificial Bee Colony
  • Firefly Algorithm
  • Grasshopper Optimization Algorithm
  • Butterfly Optimization Algorithm
  • Coyote Optimization Algorithm
  • Emperor Penguins Colony
  • Emperor Penguin Optimizer
  • Bonobo Optimizer
  • Fitness Dependent Optimizer
  • Chimp Optimization Algorithm
  • Mayfly Algorithm
  • African Vultures Optimization Algorithm
  • Coot Optimization Algorithm
  • Golden Eagle Optimizer

Part XI: Trajectory-mased Algorithms

  • Simulated Annealing
  • Tabu Search

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