Loading Icon

Differential evolution

In evolutionary computation, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. However, metaheuristics such as DE do not guarantee an optimal solution is ever found.

Metrics Summary

Total Publications
Lifetime
9,661
Prior Five Years
3,315
Total Citations
Lifetime
175,698
Prior Five Years
31,573
Total Scholars
Lifetime
11,733
Prior Five Years
10,155

Publications and Citation History

Publications based on Disciplines

Scholars based on Disciplines

Publications based on Fields

Scholars based on Fields

Highly Ranked Scholars™

Lifetime
Prior Five Years

Highly Cited Publications

Lifetime