A quantum framework for Combinatorial Optimization Problem with linear objective functions. It also can solve graph problem if it's optimization objective function can be represented as linear ...

The article deals with problem of global optimization. A homogeneous class of global optimization algorithms is considered. This class of algorithms as well as other surrogate-based methods rely on ...

This paper considers a distributed optimization problem under undirected graph. Different from most of the existing distributed optimization works that consider the optimal solutions to be constants, ...

By using the penalty function method with objective parameters, the paper presents an interactive algorithm to solve the inequality ... Z. Meng, R. Shen and M. Jiang, "An Objective Penalty Functions ...

Q. Zhang, A. Zhou, S. Zhao, P. N. Suganthan, W. Liu, and S. Tiwari, Multiobjective optimization test instances for the CEC 2009 special session and competition, School of CS & EE, University of Essex, ...

The first step to apply the graphical method is to understand the problem and translate it into a mathematical model. You need to identify the decision variables, the objective function, and the ...

Linear programming is a mathematical technique that helps you optimize a linear objective function subject to a set of linear constraints. For example, you might want to maximize your profit or ...

Omer, M. and Sulaiman, N. (2022) New Approach to Solve Cubic Objective Function Programming Problem. American Journal of Operations Research, 12, 83-93. doi: 10.4236/ajor.2022.123005. 1. Introduction.