Practical Evaluation of Efficient Fitness Functions for Binary Images

2005 ◽  
pp. 314-324 ◽  
Author(s):  
Róbert Ványi
Keyword(s):  
Binary Images ◽  
Fitness Functions ◽  
Practical Evaluation

Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

2020 ◽  
Vol 13 ◽  
Author(s):  
Ge Weiqing ◽  
Cui Yanru
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Task Completion ◽  
Improved Genetic Algorithm ◽  
Fitness Functions ◽  
Task Scheduling Algorithm ◽  
Simulation Results

Background: In order to make up for the shortcomings of the traditional algorithm, Min-Min and Max-Min algorithm are combined on the basis of the traditional genetic algorithm. Methods: In this paper, a new cloud computing task scheduling algorithm is proposed, which introduces Min-Min and Max-Min algorithm to generate initialization population, and selects task completion time and load balancing as double fitness functions, which improves the quality of initialization population, algorithm search ability and convergence speed. Results: The simulation results show that the algorithm is superior to the traditional genetic algorithm and is an effective cloud computing task scheduling algorithm. Conclusion: Finally, this paper proposes the possibility of the fusion of the two quadratively improved algorithms and completes the preliminary fusion of the algorithm, but the simulation results of the new algorithm are not ideal and need to be further studied.

An Integrated Social and Behavioral System Approach to Evaluation of Healthcare Information Technology for Polychronic Conditions

2021 ◽  
pp. 1-14
Author(s):  
Thomas T.H. Wan ◽  
Bing Long Wang
Keyword(s):  
Information Technology ◽  
Healthcare Delivery ◽  
Healthcare Information Technology ◽  
Theoretical Frameworks ◽  
Behavioral Determinants ◽  
The Public ◽  
Behavioral System ◽  
Practical Evaluation ◽  
Efficiency And Effectiveness ◽  
Behavioral System Approach

Healthcare delivery systems are evolving with the advances in health information technology (HIT) development and its applications to coordinated or guided care for polychronic conditions. The design features of artificial intelligence in healthcare reflect the public interest in optimizing care coordination and communication between providers and patients. This article offers a practical evaluation and assessment of the relevance of theoretical frameworks and appropriate methodologies to formalize a multi-criteria optimization of a logic model applicable for achieving the system’s efficiency and effectiveness. In specifying theoretical constructs and evaluation methods for HIT evaluation, a three-fold purpose is to show the relevance of personal and behavioral determinants of HIT use, articulate the need for developing a transdisciplinary framework, and formulate appropriate multilevel modeling and causal analysis of the determinants of HIT use and its impacts on chronic care.

Modified OFS-RDS bat algorithm for IFS encoding of bitmap fractal binary images

2021 ◽  
Vol 47 ◽  
pp. 101222
Author(s):  
Akemi Gálvez ◽  
Andrés Iglesias ◽  
José A. Díaz ◽  
Iztok Fister ◽  
Joaquín López ◽  
...  
Keyword(s):  
Bat Algorithm ◽  
Binary Images

scholarly journals Spline-based medial axis transform representation of binary images

2021 ◽  
Author(s):  
Jieying Wang ◽  
Jiří Kosinka ◽  
Alexandru Telea
Keyword(s):  
Medial Axis ◽  
Medial Axis Transform ◽  
Binary Images
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