Swarm and Evolutionary Intelligence: Genetic Algorithms, NEAT, and Particle Swarms

Status: public · Confidence: medium (0.76) · Basis: verified_sources

## TL;DR
Swarm and evolutionary intelligence describes optimization methods inspired by social behavior and evolution. Strong claims should identify the algorithm family instead of treating all bio-inspired search as one technique.

## Core Explanation
Particle swarms, ant-colony methods, and genetic algorithms all search over candidate solutions, but they differ in representation, update rules, and how they use population-level information.

## Detailed Analysis
The repaired article uses classic PSO, ant-colony, and genetic-algorithm sources and avoids broad claims that these methods are always superior to conventional optimization.

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