What is another word for extremal optimization?
Pronunciation: [ɛkstɹˈɛmə͡l ˌɒptɪma͡ɪzˈe͡ɪʃən] (IPA) 
Extremal optimization is a computational approach used to optimize complex systems. Synonyms for this term include evolutionary algorithms, genetic algorithms, and simulated annealing. Evolutionary algorithms use techniques similar to those found in biological evolution to create solutions. Genetic algorithms apply natural selection and genetic recombination to find optimal solutions. In simulated annealing, the system is gradually heated and then cooled to find the lowest energy state. Other terms often used in conjunction with extremal optimization include swarm intelligence and particle swarm optimization. No matter which term is used, the goal is always to find the most efficient and effective solution possible.
