we study the influence of hybridization of a genetic algorithm with a local optimizer on solving instances of the … of a genetic algorithm. Moreover, we have also studied at which generations to apply the hybridization and hence applied … results are obtained when hybridization occurs in the last generations of the genetic algorithm. …

project scheduling problem, Genetic Algorithm (GA) has been used as a searching tool. Finally, Dev-C++ 4.9.9.2 has been used …. Here, the function has been optimized using Genetic Algorithm search technique, with varied level of risks and fuzzy time …

. In the subsequent phase, the study utilizes the identified design criteria to develop a genetic algorithm inspired by … developed genetic algorithm was able to generate hybridized design solutions that have been spatially validated. Originality …

the possibility of using the genetic algorithm for the Knapsack problem to compromise the security of a Knapsack cipher …. Despite being much faster than the exact algorithms, the genetic algorithm for the Knapsack problem may fail to find a … solution. We explore the connection between the success rate of the genetic algorithm and the Knapsack problem parameters: the …

which is optimal with respect to only one objective. In this paper, for solving the problem, micro-Genetic Algorithm …