Evolving Fitness Landscapes with Complementary Fitness Functions

2020 ◽  
pp. 110-120
Author(s):  
Vincent Hénaux ◽  
Adrien Goëffon ◽  
Frédéric Saubion
Keyword(s):  
Fitness Landscapes ◽  
Fitness Functions

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.

scholarly journals The fitness landscapes of translation

2021 ◽  
Vol 569 ◽  
pp. 125768
Author(s):  
Mario Josupeit ◽  
Joachim Krug
Keyword(s):  
Fitness Landscapes

scholarly journals Mathematical modeling of movement on fitness landscapes

2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Nishant Gerald ◽  
Dibyendu Dutta ◽  
R. G. Brajesh ◽  
Supreet Saini
Keyword(s):  
Mathematical Modeling ◽  
Fitness Landscapes
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