The genetic algorithm is implemented using the DEAP library. Dataset The dataset used in this project is the Cleveland Heart Disease dataset, which consists of 14 attributes and 303 instances. The ...

Neural networks, fuzzy logic and genetic algorithms are the core methodologies of soft computing. In this paper, we give an overview on the recent developments in the emerging field of soft ...

The concept of soft computing leads to enhance the ACO using GA. The principle is to observe the movement of ants from their nest to the food location by finding the shortest path. This randomized ...

Soft computing contrasts with possibility, an approach that is used when there is not enough information available to solve a problem. In contrast, soft computing is used where the problem is not ...

M. Sarfraz and A. Raza, “Visualization of Data Using Genetic Algorithm,” Soft Computing and Industry, Recent Applications, 2002, pp. 535-544. has been cited by the following article: TITLE: Genetic ...

The simulation results show that the classic genetic algorithm falls into the dilemma of local minimum values. Therefore, we introduce a multi-population genetic algorithm, setting different crossover ...

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The ...