论文信息 - Crow Search Algorithm (CSA)

Crow Search Algorithm (CSA)

The crow search algorithm (CSA) is novel metaheuristic optimization algorithm, which is based on simulating the intelligent behavior of crow flocks. This algorithm was introduced by Askarzadeh (2016) and the preliminary results illustrated its potential to solve numerous complex engineering-related optimization problems. In this chapter, the natural process behind a standard CSA is described at length.

[1] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .

[2] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.

[3] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[4] Jing Wang,et al. Swarm Intelligence in Cellular Robotic Systems , 1993 .

[5] Alireza Askarzadeh,et al. A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm , 2016 .

[6] Marco Dorigo,et al. Swarm intelligence: from natural to artificial systems , 1999 .

[7] O. Güntürkün,et al. Mirror-Induced Behavior in the Magpie (Pica pica): Evidence of Self-Recognition , 2008, PLoS biology.

[8] Nicola S. Clayton,et al. The Mentality of Crows: Convergent Evolution of Intelligence in Corvids and Apes , 2004, Science.

[9] Nicola S. Clayton,et al. Evolution of the avian brain and intelligence , 2005, Current Biology.