This paper compares various selection techniques used in Genetic Algorithm. Genetic
algorithms are optimization search algorithms that maximize or minimizes given functions …

This paper surveys strategies applied to avoid premature convergence in Genetic
Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The …

This paper presents a bit mask oriented genetic algorithm based secure medical data
transmission mechanism. A bit mask oriented genetic algorithm (BMOGA) is utilized to …

Security is the prominent concern for the network and maintaining security is highly
recommended. There exists several approaches has been attempted to address this …

This paper presents bit masking oriented genetic algorithm (BMOGA) for context free
grammar induction. It takes the advantages of crossover and mutation mask-fill operators …

There exists several complex optimization problems, are difficult to solve using simple
conventional or mathematical approach. Many scientific applications have a search space …

In this paper, a genetic algorithm with minimum description length (GAWMDL) is proposed
for grammatical inference. The primary challenge of identifying a language of infinite …

Sequential Ordering Problem (SOP) is a type of Combinatorial Optimization Problem (COP).
Solving SOP requires finding a feasible Hamiltonian path with minimum cost without …

Genetic Algorithms (GAs) are search and optimization algorithms based on natural selection
and genetics. Genetic Algorithms are one of the most popular algorithms in the categories of …

To be successful, a search algorithm needs to balance exploration and exploitation. In
Genetic Algorithms (GAs) this is achieved through proportionate selection of individuals and …