Evolutionary Computation
Evolutionary Computation refers to computational models that generate solutions to problems using mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. These algorithms can optimize complex functions and search spaces, making them valuable for machine learning, data mining, artificial life, and multi-agent systems. In the context of Technology/Artificial Intelligence/Technology Artificial Intelligence, Evolutionary Computation offers a unique approach to AI that emphasizes adaptability, self-organization, and emergence. It represents a powerful complement to more traditional symbolic AI methods, providing a distinct set of tools for addressing complex real-world problems.
External Links
- [EvolutionaryComputation.org] Introduction to Evolutionary Computing | The on-line accompaniment to the book Introduction to Evolutionary Computing