11 citations · 39 across the 13 of their papers we have counts for
13 papers
Solution of Robust Linear Optimization Problems
Parthasarathi Mondal, Akshay Kumar Ojha
Robust optimization(RO) is an important tool for handling optimization problem with uncertainty. The main objective of RO is to solve optimization problems due to uncertainty assoc…
Feasibility Conditions of Robust Portfolio Solutions under Single and Combined Uncertainties
Pulak Swain, Akshay Kumar Ojha
In this paper, we derive the feasibility conditions for the robust counterparts of the uncertain Markowitz model. Our study is based on ellipsoidal, box, polyhedral uncertainty set…
Robust Portfolio Optimization under Ambiguous Chance Constraints
Pulak Swain, Akshay Kumar Ojha
In this paper, we discuss the ambiguous chance constrained based portfolio optimization problems, in which the perturbations associated with the input parameters are stochastic in…
Chance Constrained Robust Portfolio Optimization when the Perturbations Follow Normal and Exponential Distributions
Pulak Swain, Akshay Kumar Ojha
In this paper, we consider the chance constrained based uncertain portfolio optimization problem in which the uncertain parameters are stochastic in nature. The primary goal of the…
Uncertain random geometric programming problems
Tapas Mondal, Akshay Kumar Ojha, Sabyasachi Pani
In this paper, we introduce a deterministic formulation for the geometric programming problem, wherein the coefficients are represented as independent linear-normal uncertain rando…
Geometric Programming Problems with Triangular and Trapezoidal Two-fold Uncertainty Distributions
Tapas Mondal, Akshay Kumar Ojha, Sabyasachi Pani
Geometric programming (GP) is a well-known optimization tool for dealing with a wide range of nonlinear optimization and engineering problems. In general, it is assumed that the pa…
Multi-objective Geometric Programming Problem With Weighted Mean Method
A. K. Ojha, K. K. Biswal
Geometric programming is an important class of optimization problems that enable practitioners to model a large variety of real-world applications, mostly in the field of engineeri…
Multi-Objective Geometric Programming Problem Being Cost Coefficients as Continous Function with Weighted Mean Method
A. K. Ojha, A. K. Das
Geometric programming problems occur frequently in engineering design and management. In multiobjective optimization, the trade-off information between different objective function…
Geometric Programming Problem with Co-Efficients and Exponents Associated with Binary Numbers
A. K. Ojha, A. K. Das
Geometric programming (GP) provides a power tool for solving a variety of optimization problems. In the real world, many applications of geometric programming (GP) are engineering…
Existence and Global Logarithmic Stability of Impulsive Neural Networks with Time Delay
A. K. Ojha, Dushmanta Mallick, C. Mallick
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologic…
Posynomial Geometric Programming Problems with Multiple Parameters
A. K. Ojha, K. K. Biswal
Geometric programming problem is a powerful tool for solving some special type non-linear programming problems. It has a wide range of applications in optimization and engineering…
Logarithmic Barrier Optimization Problem Using Neural Network
A. K. Ojha, C. Mallick, D. Mallick
The combinatorial optimization problem is one of the important applications in neural network computation. The solutions of linearly constrained continuous optimization problems ar…
Lexicographic Multi-objective Geometric Programming Problems
Dr. A. K. Ojha, K. K. Biswal
A Geometric programming (GP) is a type of mathematical problem characterized by objective and constraint functions that have a special form. Many methods have been developed to sol…