swarm intelligence

Cellular Evolutionary Algorithm (CEA)

What is Cellular Evolutionary Algorithm? A Cellular Evolutionary Algorithm (CEA) is a type of evolutionary algorithm in which individuals in the population are arranged in a structured spatial topology—typically a…

Artificial Bee Colony Algorithm

What is the Artificial Bee Colony Algorithm? The Artificial Bee Colony (ABC) Algorithm is a nature-inspired optimization algorithm based on the intelligent foraging behavior of honey bee swarms. It belongs…

Moth-Flame Optimization (MFO) Algorithm

What is the Moth–Flame Optimization Algorithm? The Moth–Flame Optimization Algorithm (MFO) is a nature-inspired metaheuristic optimization technique that simulates the navigation behavior of moths flying around artificial lights. In nature,…

Glowworm Swarm Optimization (GSO) Algorithm

What is Glowworm Swarm Optimization Algorithm The Glowworm Swarm Optimization Algorithm (GSO) is a nature-inspired, swarm-intelligence optimization algorithm that simulates the collective behavior of glowworms to locate multiple optima in…

Krill Herd Algorithm (KHA)

What is Krill Herd Algorithm? A Meta heuristic optimization algorithm inspired by nature, the Krill Herd Algorithm (KHA) simulates the swarming behavior of krill in the ocean. In 2012, Gandomi…

Elephant Herding Optimization (EHO) Algorithm

What Is the Elephant Herding Optimization (EHO) Algorithm? Elephant Herding Optimization (EHO) is a population-based metaheuristic inspired by the social behavior of elephant herds. In nature, elephants live in clans…

Bio Inspired Algorithms

Introduction In the ever-evolving landscape of computational intelligence, bio-inspired algorithms stand out as a testament to humanity’s ingenuity in borrowing from nature’s playbook. These algorithms draw inspiration from biological processes,…

Harmony Search Algorithm

What is Harmony Search Algorithm? The Harmony Search (HS) Algorithm is a metaheuristic optimization algorithm inspired by nature that finds the best answers to challenging issues by simulating musical improvisation.…

Ant Colony Optimization (ACO) Algorithm: Nature-Inspired Solution for Complex Optimization Problems

ACO Algorithm Based on the feeding habits of actual ant colonies, Ant Colony Optimization (ACO) is a metaheuristic optimization technique inspired by nature. It was first presented by Marco Dorigo…