Techniques
Evolutionary computing techniques mostly involve metaheuristic optimization algorithms. Broadly speaking, the field includes:
Evolutionary algorithms
- Gene expression programming
- Genetic algorithm
- Genetic programming
- Evolutionary programming
- Evolution strategy
- Differential evolution
- Differential search algorithm
- Eagle strategy
Swarm intelligence
- Ant colony optimization
- Particle swarm optimization
- Bees algorithm
- Cuckoo search
and in a lesser extent also:
- Teaching-learning-based optimization (TLBO)
- Artificial life (also see digital organism)
- Artificial immune systems
- Cultural algorithms
- Firefly algorithm
- Harmony search
- Learning classifier systems
- Learnable Evolution Model
- Parallel simulated annealing
- Self-organization such as self-organizing maps, competitive learning
- Self-Organizing Migrating Genetic Algorithm
- Swarm-based computing
Read more about this topic: Evolutionary Computation
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—John Steinbeck (1902–1968)