Sentence examples for diverse optimization problems from inspiring English sources
The harmony search algorithm has been proven to be an effective optimization method for solving diverse optimization problems.
The resulting hybrid algorithms, also referred to as Memetic Algorithms, combine the space exploration advantage of their global part with the efficiency asset of the local search, and as expected they have displayed a highly efficient behavior in solving diverse optimization problems.
This algorithm represents more general approximate solution procedure applicable to a large variety of optimization problems (e.g., in Izadi and Kimiagari 2014; AriaNezhad et al. 2013; and Mariajayaprakash et al. 2013), since it is tailored to solve various optimization problems in diverse research fields.
The proposal is also compared with the classical CPU implementation for diverse topology optimization problems, including stiffness maximization, heat sink design and compliant mechanism design.
It has been successfully applied to solve diverse engineering optimization problems such as power system stabilizer [24], uninhabited combat air vehicle (UCAV) path planning [25], economic dispatch [26], load frequency control [27], planning the sports training [28], fuel arrangement optimization of reactor core [29], feature selection [30], etc.
Researchers have utilized GSA to solve various engineering optimization problems in diverse fields of applications ranging from electrical engineering to bioinformatics.
Moreover, they are simple to encode and flexible to be implemented on diverse categories of optimization problems.
In reliability optimization problems diverse situations occur due to which it is not always possible to get relevant precise data for the reliability system.
In reliability optimization problems diverse situation occurs due to which it is not always possible to get relevant precision in system reliability.
It is used to solve unconstrained as well as constrained optimization problems with diverse search spaces.
HS has attracted a lot of attention by showing excellent results for a wide range of optimization problems in diverse fields.
