scholarly journals Memory Based Cuckoo Search Algorithm for Feature Selection of Gene Expression Dataset

2021 ◽  
pp. 100572
Author(s):  
Malek Alzaqebah ◽  
Khaoula Briki ◽  
Nashat Alrefai ◽  
Sami Brini ◽  
Sana Jawarneh ◽  
...  
Keyword(s):  
Gene Expression ◽  
Feature Selection ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Gene Expression Dataset ◽  
Selection Of

scholarly journals Identification of suitable websites for digital marketing – an approach using bio-inspired computing

2017 ◽  
Vol 7 (1.2) ◽  
pp. 239 ◽  
Author(s):  
B. Suresh Kumar ◽  
Deepshikha Bharghava ◽  
Arpan Kumar Kar ◽  
Chinwe Peace Igiri
Keyword(s):  
Search Algorithm ◽  
Cuckoo Search ◽  
Integrated Approach ◽  
Cuckoo Search Algorithm ◽  
Internet Usage ◽  
Digital Marketing ◽  
Assessment Criteria ◽  
Fast Pace ◽  
The Web ◽  
Selection Of

Due to the immense growth of Internet usage, the point of convergence has moved from physical to the web. The size of the web is increasing at a very fast pace to cater to the fast-evolving needs of the businesses, governments, and societies. However, selecting or identifying the best website is challenging. The practical issue to solve the problem comprises two parts. The first part is to identify the assessment criteria for appraising websites. Second is to evaluate the websites in the context of these assessment criteria and screen them to address a specific need. However, this objective is extremely complex and computationally extremely expensive. This research proposes an approach to identify websites from the Internet. The proposed integrated approach uses the Henry Garrett ranking method and cuckoo search algorithm for ranking and selection of websites for planning digital marketing campaigns.

scholarly journals Adaptation of optimization algorithm parameters to reconstruction of chaotic attractor

2015 ◽  
Vol 56 ◽  
Author(s):  
Miglė Drūlytė ◽  
Kristina Lukoševičiūtė ◽  
Erika Mekšunaitė
Keyword(s):  
Time Series ◽  
Time Delay ◽  
Optimization Algorithm ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Artificial Bee Colony Optimization ◽  
Bee Colony ◽  
Bee Colony Optimization ◽  
Selection Of

Optimal selection of time delay for time series reconstruction is an important problem in time series analysis and forecasting. When reconstructing the time series into phase space with non-uniform time delay, a time delay selection becomes a difficult optimization problem. To solve this problem, this paper presents two optimization algorithms: cuckoo search algorithm and artificial bee colony optimization algorithm.

scholarly journals Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Maoxian Zhao ◽  
Yue Qin
Keyword(s):  
Feature Selection ◽  
Search Algorithm ◽  
Binary Classification ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Feature Weighting ◽  
Svm Classifier ◽  
Binary Particle Swarm Optimization ◽  
Elite Strategy ◽  
Low Dimensional

For the low optimization accuracy of the cuckoo search algorithm, a new search algorithm, the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting and elite strategy. The EHBCS algorithm has been designed for feature selection on a series of binary classification datasets, including low-dimensional and high-dimensional samples by SVM classifier. The experimental results show that the EHBCS algorithm achieves better classification performances compared with binary genetic algorithm and binary particle swarm optimization algorithm. Besides, we explain its superiority in terms of standard deviation, sensitivity, specificity, precision, and F -measure.

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