Volume 10 (2025)
Volume 9 (2024)
Volume 8 (2023)
Volume 7 (2022)
Volume 6 (2021)
Volume 5 (2020)
Volume 4 (2019)
Volume 3 (2018)
Volume 2 (2017)
Volume 1 (2016)
Number of Articles: 6
Approximate Pareto Optimal Solutions of Multi objective Optimal Control Problems by Evolutionary Algorithms
Volume 1, Issue 1 , April 2016, Pages 1-19
Abstract
In this paper an approach based on evolutionary algorithms to find Pareto optimal pair of state and control for multi-objective optimal control problems (MOOCP)'s is introduced. In this approach, first a discretized form of the time-control space is considered and then, a ... Read MoreRegularity Conditions for Non-Differentiable Infinite Programming Problems using Michel-Penot Subdifferential
Volume 1, Issue 1 , April 2016, Pages 21-30
Abstract
In this paper we study optimization problems with infinite many inequality constraints on a Banach space where the objective function and the binding constraints are locally Lipschitz. Necessary optimality conditions and regularity conditions are given. Our approach are based on the ... Read MoreOn Efficiency of Non-Monotone Adaptive Trust Region and Scaled Trust Region Methods in Solving Nonlinear Systems of Equations
Volume 1, Issue 1 , April 2016, Pages 31-40
Abstract
In this paper we run two important methods for solving some well-known problems and make a comparison on their performance and efficiency in solving nonlinear systems of equations. One of these methods is a non-monotone adaptive trust region strategy and another one is a scaled trust region ... Read MoreA New Measure for Evaluating the Efficiency of Human's Resources in University
Volume 1, Issue 1 , April 2016, Pages 41-53
Abstract
In this paper we try to introduce a new approach and study the notion of efficiency under a multi objectives linear programming problem in the university by using analysis of hierarchy process (AHP). To this end, we first extract some effective parameters due to efficiency offices ... Read MoreSolving Linear Semi-Infinite Programming Problems Using Recurrent Neural Networks
Volume 1, Issue 1 , April 2016, Pages 55-67
Abstract
Linear semi-infinite programming problem is an important class of optimization problems which deals with infinite constraints. In this paper, to solve this problem, we combine a discretization method and a neural network method. By a simple discretization ... Read MoreSolving Fully Fuzzy Linear Programming Problems with Zero-One Variables by Ranking Function
Volume 1, Issue 1 , April 2016, Pages 69-78