Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms.

In this paper, soft computing techniques: genetic algorithm has been used for tuning the parameters of COCOMO model to predicate the software cost more accurately. Moreover, the performance of ...

First line: Number of test cases (must be at least 1) For each test case: Size of the knapsack Number of items , For each item: Use a binary, one-dimensional chromosome. The population size and ...

The concept of soft ... of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth ...

Basics of AI including PyPlot tutorials, Fuzzy Logic, Genetic Algorithms, Bayesian Networks ... intelligence include programming computers for certain traits such as: Soft computing is the use of ...

Abstract: Genetic Algorithms (GAs) is a predominant heuristic technique ... AS is atechnique of ACO inspired from the behaviour of ants. The concept of soft computing leads to enhance the ACO using GA ...

1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...

The only practical method for finding optimal solutions has been branch-and-bound algorithms. In this paper, we present an improved sequential algorithm which is based on a strict alternation of ...

Soft computing models refer to a set of computational techniques that aim to address complex, imprecise, and uncertain problems. These models use approaches like fuzzy logic, neural networks, genetic ...