Abstract: In this paper we state a new method for solving of the nonlinear programming problems. A equivalent

integral equation system has been put instead of the equality constraints of problem, and it will solve with

modified measure...

In the presence research, we are going to obtain the solution of the fuzzy nonlinear programming

problems (FNLP) . According to our search in the scientific reported papers, Our focus on the paper is

to give ...

In this paper we introduce a new approach to solve constrained nonlinear nonsmooth

programming problems with any desirable accuracy even when the objective function is

a non-smooth one. In this approach for ...

In this paper we use steepest descent method for solving zero-one nonlinear programming problem. Using penalty function we transform this problem to an unconstrained optimization problem and then by steepest descent method we obtain the original...

In the presence research, we are going to obtain the solution of the fuzzy nonlinear programming problems -FNLP-. Our focus on the paper is to give a recurrent neural network model to solve the FNLP. Besides, the global convergence and the Lyapunov...

In the present research, we obtain the solution of the fuzzy nonlinear programming problems -FNLPs- using recurrent
neural network models. Since there is a few study and research for resolving of FNLP by recurrent neural network
models, we...