Learning Cuckoo Search Strategy for t-way Test Generation

2018 ◽  
pp. 97-110
Author(s):  
Abdullah B. Nasser ◽  
Abdulrahman Alsewari ◽  
Kamal Z. Zamli
Keyword(s):  
Test Generation ◽  
Search Strategy ◽  
Cuckoo Search

Active contours driven by Cuckoo Search strategy for brain tumour images segmentation

2016 ◽  
Vol 56 ◽  
pp. 59-68 ◽  
Author(s):  
Elisee Ilunga-Mbuyamba ◽  
Jorge Mario Cruz-Duarte ◽  
Juan Gabriel Avina-Cervantes ◽  
Carlos Rodrigo Correa-Cely ◽  
Dirk Lindner ◽  
...  
Keyword(s):  
Brain Tumour ◽  
Search Strategy ◽  
Active Contours ◽  
Cuckoo Search

A NEW ALGORITHM FOR MULTI-SKILL RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON CUCKOO SEARCH STRATEGY

2020 ◽  
Vol 65 (6) ◽  
pp. 98-109
Author(s):  
Huu Dang Quoc ◽  
Loc Nguyen The ◽  
Cuong Nguyen Doan ◽  
Toan Phan Thanh
Keyword(s):  
Project Scheduling ◽  
Search Strategy ◽  
Scheduling Algorithm ◽  
Optimal Schedule ◽  
Cuckoo Search ◽  
Scheduling Problem ◽  
Resource Constrained ◽  
Start Time ◽  
Resource Constrained Project Scheduling ◽  
Project Scheduling Problem

The purpose of this paper is to consider the project scheduling problem under such limited constraint, called Multi-Skill Resource-Constrained Project Scheduling Problem or MS-RCPSP. The algorithm proposed in this paper is to find the optimal schedule, determine the start time for each task so that the execution time (also called makespan) taken is minimal. At the same time, our scheduling algorithm ensures that the given priority relationships and constraints are not violated. Our scheduling algorithm is built based on the Cuckoo Search strategy. In order to evaluate the proposed algorithm, experiments were conducted by using the iMOPSE dataset. The experimental results proved that the proposed algorithm found better solutions than the previous algorithm.

Novel approaches for classification based on Cuckoo Search Strategy

2013 ◽  
Vol 10 (3) ◽  
pp. 107-116 ◽  
Author(s):  
Samiksha Goel ◽  
Arpita Sharma ◽  
Punam Bedi
Keyword(s):  
Search Strategy ◽  
Cuckoo Search ◽  
Novel Approaches

scholarly journals IC-Cut: A Compositional Search Strategy for Dynamic Test Generation

2015 ◽  
pp. 300-318 ◽  
Author(s):  
Maria Christakis ◽  
Patrice Godefroid
Keyword(s):  
Test Generation ◽  
Search Strategy ◽  
Dynamic Test

Vitamin D Deficiency/Insufficiency and Challenges in Developing Global Vitamin D Fortification and Supplementation Policy in Adults

2012 ◽  
Vol 82 (4) ◽  
pp. 237-259 ◽  
Author(s):  
Moshe Ben-Shoshan
Keyword(s):  
Vitamin D ◽  
Vitamin D Deficiency ◽  
Search Strategy ◽  
Epidemiologic Studies ◽  
Vitamin D Supplementation ◽  
Vitamin D Status ◽  
Societal Burden ◽  
Time Period ◽  
New Guidelines ◽  
In Cis

This review summarizes studies discussing vitamin D status in adults and reveals that vitamin D deficiency/insufficiency is highly prevalent in adults and that current fortification and supplementation policies are inadequate. Background and aims: Studies suggest a crucial role for adequate vitamin D status in various health conditions including bone metabolism, cancer, cardiovascular diseases, and allergies. However, relatively little is known about poor vitamin D status and unmet needs in adults. This report aims to highlight the contribution of epidemiologic studies (through the identification of health effects and societal burden) to the development of vitamin D fortification and supplementation policies and reveal unmet global challenges in adults. Methods: In order to assess worldwide vitamin D status in adults, the search strategy combined the medical literature database MEDLINE (using PubMed) for the time period between January 1, 1980 and February 28, 2011, using the key words “vitamin D” “deficiency” and “insufficiency”, and included articles in which access to full text was possible and in which healthy adults were assessed according to one of four commonly used vitamin D threshold classifications. Results: This report reveals that vitamin D deficiency occurs in 4.10 % [95 % CI (confidence interval), 3.93 %, 4.27 %] to 55.05 % (54.07 %, 56.03 %) of adults, while insufficiency occurs in 26.07 % (24.82 %, 27.33 %) to 78.50 % (77.85 %, 79.16 %), depending on the classification used. However, lack of overlap in CIs and high value of I2 statistics indicate considerable heterogeneity between studies. Further, certain populations (i. e. dark-skinned individuals, immigrants, and pregnant women) may be at higher risk for poor vitamin D status. Conclusion: Current policies for vitamin D supplementation and fortification are inadequate and new guidelines are required to improve vitamin D status in adults.

Test generation for digital circuits described by means of register transfer languages

1987 ◽  
Vol 134 (2) ◽  
pp. 69 ◽  
Author(s):  
E. Villar ◽  
S. Bracho
Keyword(s):  
Test Generation ◽  
Digital Circuits ◽  
Register Transfer

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

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