Chaotic gravitational constants for the gravitational search algorithm

S Mirjalili, AH Gandomi - Applied soft computing, 2017 - Elsevier
In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …
被引用次数：291 相关文章

Chaotic gravitational constants for the gravitational search algorithm

S Mirjalili, AH Gandomi - Applied Soft Computing Journal, 2017 - research.torrens.edu.au
In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …

Chaotic gravitational constants for the gravitational search algorithm

S Mirjalili, AH Gandomi - Applied Soft Computing, 2017 - opus.lib.uts.edu.au
In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …

Chaotic gravitational constants for the gravitational search algorithm

S Mirjalili, AH Gandomi - Applied Soft Computing, 2017 - dl.acm.org
Display Omitted Chaotic maps have been embedded into Gravitational Search Algorithms
(GSA) for the first time. The problem of trapping in local minima in GSA has been improved …

Chaotic gravitational constants for the gravitational search algorithm

S Mirjalili, AH Gandomi - Applied Soft Computing, 2017 - infona.pl
In a population-based meta-heuristic, the search process is divided into two main phases:
exploration versus exploitation. In the exploration phase, a random behavior is fruitful to …

[引用][C] Chaotic gravitational constants for the gravitational search algorithm

S Mirjalili, AH Gandomi - Applied Soft Computing, 2017 - cir.nii.ac.jp