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 ...

Abstract: Genetic Algorithm is a soft computing technique which uses its special operators to solve an optimization problem. These algorithms can solve both minimization and maximization problems.

The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers ...

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 ...

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 ...

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, ...