Extremal optimization
≈ 1 min read
Names in other languages
No names in other languages are held for this entry yet.
Article bodies are English and are not machine-translated. A name in another language is not a translation of the article.
Extremal optimization (EO) is an optimization heuristic inspired by the Bak–Sneppen model of self-organized criticality from the field of statistical physics. This heuristic was designed initially to address combinatorial optimization problems such as the travelling salesman problem and spin glasses, although the technique has been demonstrated to function in optimization domains.
Extremal optimization (EO) is an optimization heuristic inspired by the Bak–Sneppen model of self-organized criticality from the field of statistical physics. This heuristic was designed initially to address combinatorial optimization problems such as the travelling salesman problem and spin glasses, although the technique has been demonstrated to function in optimization domains. Souham Meshoul and Mohamed Batouche, "Robust Point Correspondence for Image Registration Using Optimization with Extremal Dynamics" , Lecture Notes in Computer Science 2449, 330–337 (2002) Pontus Svenson, "Extremal optimization for sensor report pre-processing", Proc SPIE 5429, 162–171 (2004)
Text derived from https://en.wikipedia.org/w/index.php?oldid=1339848215 under CC BY-SA 4.0; modifications have been made.