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Tag Archives: Genetic Algorithms

Prerequisite – Genetic Algorithm Introduction : Simple Genetic Algorithm (SGA) is one of the three types of strategies followed in Genetic algorithm. SGA starts with… Read More
Prerequisite – Genetic Algorithm SSGA stands for Steady-State Genetic Algorithm. It is steady-state meaning that there are no generations. It differs from the Simple Genetic… Read More
Introduction: Genetic algorithms are probabilistic search optimisation techniques, which operate on a population of chromosomes, representing potential solutions of the given problem. In a standard… Read More
The algorithmic world is beautiful with multifarious strategies and tools being developed round the clock to render to the need for high-performance computing. In fact,… Read More
Single Point Crossover in Genetic Algorithm is a form of crossover in which two-parent chromosome are selected and a random/given point is selected and the… Read More
Biological Background : Chromosome : All living organisms consists of cells. In each cell there is a same set of Chromosomes. Chromosomes are strings of… Read More
Tournament Selection is a Selection Strategy used for selecting the fittest candidates from the current generation in a Genetic Algorithm. These selected candidates are then… Read More
Genetic Algorithms(GAs) are adaptive heuristic search algorithms that belong to the larger part of evolutionary algorithms. In each generation chromosomes(our solution candidates) undergo mutation and… Read More
Genetic Algorithms(GAs) are adaptive heuristic search algorithms that belong to the larger part of evolutionary algorithms. In each generation chromosomes(our solution candidates) undergo mutation and… Read More
Cryptography is the branch of science which deals with the encoding of information for the purpose of hiding messages. It plays a vital role in… Read More