Application of Continuous Genetic Algorithm for Nonlinear System of Second-Order Boundary Value Problems
By Omar Abu-Arqub, Za'er Salim Abo-Hammour, Shaher Momani. 2014
56 citations recorded by the source corpus.
Subfields: Modeling and Simulation, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/7c7733d342f9ea41445233c73e71c2ad4ea47db5
How researchers see this paper
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In Modeling and Simulation
- Omar Abu Arqub
- Shaher Momani
- Za'er Salim Abo-Hammour
- Ahmed Alsaedi
- Ramzi B. Albadarneh
- Nabil T. Shawagfeh
- Zaid M. Odibat
- Ji-Huan He
In Numerical Analysis
- Omar Abu Arqub
- Za'er Salim Abo-Hammour
- Ahmed Alsaedi
- Shaher Momani
- Ramzi B. Albadarneh
- Zaid M. Odibat
- Ji-Huan He
- Nabil T. Shawagfeh
Citations in the corpus
- A Reliable Analytical Method for Solving Higher-Order Initial Value Problems (2013, background): “On the other aspect as well, the applications of other versions of series solutions to linear and nonlinear problems can be found in [13–18] and for numerical solvability of different categories of differential equations, one can consult the references [19, 20].”
- Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm (2014, methodology): “The reader is asked to refer to [1–6,8– 10,12,13] in order to know more details about CGA, including their justification for use, conditions on smoothness of the functions used in the algorithm, several advantages of CGA over conventional GA (discrete version) when it is applied to problems with cou”
- An Optimization Algorithm for Solving Systems of Singular Boundary Value Problems (2014, methodology): “It is to be noted that the first two conditions indicate to a successful termination process (optimal solution is found), while the last two conditions point to a partially successful end depending on the fitness of the best individual in the population (near-optimal solution is reached) [25,26,27, ”