Cuckoo search has become a popular and powerful metaheuristic algorithm for global optimization. In business optimization and applications, many studies have focused on support vector machine and neural networks. In this paper, we use cuckoo search to carry out optimization tasks and compare the performance of cuckoo search with support vector machine. By testing benchmarks such as project scheduling and bankruptcy predictions, we conclude that cuckoo search can perform better than support vector machine
In this paper, a Cuckoo search algorithm, namely the New Movement Strategy of Cuckoo Search (NMS-CS)...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
Abstract: Optimisation, the process of finding either a maximum of a minimum of the problem at hand ...
Real-life optimization problems demand robust algorithms that perform efficient search in the enviro...
Real-life optimization problems demand robust algorithms that perform efficient search in the enviro...
The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm, which is ...
Modification of the intensification and diversification approaches in the recently developed cuckoo ...
Modification of the intensification and diversification approaches in the recently developed cuckoo ...
The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm, which is ...
This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. ...
This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. ...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
ABSTRACT: Cuckoo Search (CS) is heuristic search algorithm which is inspired by the reproduction str...
© 2020 IEEE. Cuckoo search (CS) is a highly competitive single objective optimization technique. The...
Training neural networks is a complex task that is important for supervised learning. A few metahe...
In this paper, a Cuckoo search algorithm, namely the New Movement Strategy of Cuckoo Search (NMS-CS)...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
Abstract: Optimisation, the process of finding either a maximum of a minimum of the problem at hand ...
Real-life optimization problems demand robust algorithms that perform efficient search in the enviro...
Real-life optimization problems demand robust algorithms that perform efficient search in the enviro...
The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm, which is ...
Modification of the intensification and diversification approaches in the recently developed cuckoo ...
Modification of the intensification and diversification approaches in the recently developed cuckoo ...
The cuckoo search algorithm is a recently developed meta-heuristic optimization algorithm, which is ...
This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. ...
This thesis aims to produce a novel multi-objective algorithm that is based on Cuckoo Search by Dr. ...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
ABSTRACT: Cuckoo Search (CS) is heuristic search algorithm which is inspired by the reproduction str...
© 2020 IEEE. Cuckoo search (CS) is a highly competitive single objective optimization technique. The...
Training neural networks is a complex task that is important for supervised learning. A few metahe...
In this paper, a Cuckoo search algorithm, namely the New Movement Strategy of Cuckoo Search (NMS-CS)...
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (C...
Abstract: Optimisation, the process of finding either a maximum of a minimum of the problem at hand ...