A novel genetic algorithm based on immunity

By L. Jiao, Lei Wang. IEEE Trans. Syst. Man Cybern. Part A, 2000

470 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/83d324c37b05c234bb83a2b00b5077f8d196759a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jing Liu
2. Weicai Zhong
3. Mingzhi Xue
4. L. Jiao

In Biomedical Engineering

1. Weicai Zhong
2. Mingzhi Xue
3. Jing Liu
4. L. Jiao

In Control and Systems Engineering

1. Weicai Zhong
2. Mingzhi Xue
3. Jing Liu
4. L. Jiao

Citations in the corpus

• A multiagent genetic algorithm for global numerical optimization (2004, methodology): “been proposed, such as combining mutation operators [5], macroevolutionary algorithm [6], immune genetic algorithm [ 7 ], orthogonal genetic algorithm [8], microgenetic algorithm [9], and so on. These algorithms proved to be effective and boosted the development of genetic algorithms.”