Virus detection using clonal selection algorithm with Genetic Algorithm (VDC algorithm)

2013 ◽  
Vol 13 (1) ◽  
pp. 239-246 ◽  
Author(s):  
Suha Afaneh ◽  
Raed Abu Zitar ◽  
Alaa Al-Hamami
Keyword(s):  
Genetic Algorithm ◽  
Clonal Selection ◽  
Virus Detection ◽  
Clonal Selection Algorithm ◽  
Selection Algorithm

scholarly journals CAN LINEAR PROGRAMMING ASSIST METAHEURISTICS IN FOREST PRODUCTION PLANNING PROBLEM?

FLORESTA ◽  
2021 ◽  
Vol 51 (3) ◽  
pp. 751
Author(s):  
Carlos Alberto Araújo Júnior ◽  
Renato Vinícius Oliveira Castro ◽  
João Batista Mendes ◽  
Helio Garcia Leite
Keyword(s):  
Genetic Algorithm ◽  
Linear Programming ◽  
Variable Neighborhood Search ◽  
Clonal Selection ◽  
Neighborhood Search ◽  
Initial Population ◽  
Clonal Selection Algorithm ◽  
Selection Algorithm ◽  
Forest Production ◽  
Relaxed Problem

The planning of forest production requires the adoption of mathematical models to optimize the utilization of available resources. Hence, studies involving the improvement of decision-making processes must be performed. Herein, we evaluate an alternative method for improving the performance of metaheuristics when they are applied for identifying solutions to problems in forest production planning. The inclusion of a solution obtained by rounding the optimal solution of linear programming to a relaxed problem is investigated. Such a solution is included in the initial population of the clonal selection algorithm, genetic algorithm, simulated annealing, and variable neighborhood search metaheuristics when it is used to generate harvest and planting plans in an area measuring 4,210 ha comprising 120 management units with ages varying between 1 and 6 years. The same algorithms are executed without including the solutions mentioned in the initial population. Results show that the performance of the clonal selection algorithm, genetic algorithm, and variable neighborhood search algorithms improved significantly. Positive effects on the performance of the simulated annealing metaheuristic are not indicated. Hence, it is concluded that rounding off the solution to a relaxed problem is a good alternative for generating an initial solution for metaheuristics.

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