Assessing the convergence of rank-based multiobjective genetic algorithms

1997 ◽  
Author(s):  
R. Kumar
Keyword(s):  
Genetic Algorithms ◽  
Multiobjective Genetic Algorithms

Multiobjective Genetic Algorithms for Clustering

2011 ◽  
Author(s):  
Ujjwal Maulik ◽  
Sanghamitra Bandyopadhyay ◽  
Anirban Mukhopadhyay
Keyword(s):  
Genetic Algorithms ◽  
Multiobjective Genetic Algorithms

Optical Satellite Multiobjective Genetic Algorithms for Investigation of MH370 Debris

2020 ◽  
pp. 166-207
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Cloud Cover ◽  
Optical Remote Sensing ◽  
New Approach ◽  
Precise Method ◽  
Spectral Signatures ◽  
Remote Sensing Technique ◽  
Multiobjective Genetic Algorithms ◽  
Strength Constraints

At present, there is no precise method that can inform where the lost flight MH370 is. This chapter proposes a new approach to search for the missing flight MH370. To this end, multiobjective genetic algorithms are implemented. In this regard, a genetic algorithm is taken into consideration to optimize the MH370 debris that is notably based on the geometrical shapes and spectral signatures. Currently, there may be three limitations to optical remote sensing technique: (1) strength constraints of the spacecraft permit about two hours of scanning consistently within the day, (2) cloud cover prevents unique observations, and (3) moderate information from close to the ocean surface is sensed through the scanner. Needless to say that the objects that are spotted by different satellite data do not scientifically belong to the MH370 debris and could be just man-made without accurate identifications.

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