objective function

objective function

[äb′jek·tiv ′fəŋk·shən]
(mathematics)
In nonlinear programming, the function, expressing given conditions for a system, which one seeks to minimize subject to given constraints.
References in periodicals archive ?
In addition, it is possible to note that the GA and FMA solutions were not better (objective function) than SORA solution, meaning that the reported configuration seems not to be the best for this problem.
The second objective function uses frequency measurement based on mutual information theory to model the relationship between genotype data and phenotypic trait from the perspective of information theory.
Once the students have constructed the mathematical model of the objective function and the constraints, they enter this into some MATLAB code.
From the above literature review, the construction cell of manufacturing system, not only to meet the manufacturing requirements of low cost and high performance of the system, but also to meet the needs of the market and changes may occur on the basis of this, this paper presents a new design model, in order to minimize production cost and reliability of the system as the objective function of the model.
The task mode for the first mode of full compensation of reactive power is carried out using a visual model, which is complemented by computational elements to determine the value of the objective function. The choice of the objective function itself is dictated by the formulation of the problem of complete compensation of reactive power for each of the sources of electricity.
In this section, we first introduce the former method [16] and then present our SCFL method, including the objective function, the optimization of the objective function, and the SCFL algorithm.
Resource leveling focuses on decreasing the deviation between peak resource demands and daily resource demands, which is the objective function (Z) of resource leveling.
Generally, a mathematical programming problem is said to be nonlinear programming problem (NLPP) if either objective function, constraints or both are realvalued nonlinear functions.
The use of classical optimization methods is sometimes difficult or impossible due to the form of the objective function and its domain.