What is Objective Function

1.

The function, which is optimized within an optimization approach and the related problem. Learn more in: Present State of Swarm Intelligence and Future Directions

2.

The function whose value is intended to be minimized or maximized through the optimization process. Learn more in: Hybrid Bare Bones Fireworks Algorithm for Load Flow Analysis of Islanded Microgrids

3.

This is the function to be minimized or maximized, representing cost or profit, and so forth. Learn more in: Goal Programming and Its Variants

4.

A function of the decision variables that is to be maximized or minimized. Learn more in: Unconstrained Optimization in Business Analytics

5.

It is a real-valued function to be optimized under some constraints and it defines the relationship between input and output of a system which is represented by the function. Learn more in: A System on Chip Development of Customizable GA Architecture for Real Parameter Optimization Problem

6.

In the context of optimization, an objective function is the system objective presented as a function of decision variables. The ultimate goal of optimization is to find the value for decision variables in a way that this function is maximized or minimized. Learn more in: Defining a Business-Driven Optimization Problem

7.

Objective function is a mathematical function to be optimized. Learn more in: Neural Network Time Series Forecasting Using Recency Weighting

8.

The function that is to be optimized. In multi-objective optimization, several such functions need to be optimized simultaneously. Learn more in: Nature Inspired Methods for Multi-Objective Optimization

9.

A positive function of the difference between predictions and data estimates that are chosen so as to optimise the function or criterion. Learn more in: Object Classification Using CaRBS

10.

Is a mathematical expression that minimizes or maximizes a linear or nonlinear problem. Learn more in: Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem

11.

A mathematical expression that describes the problem’s objective. Learn more in: Linear Programming

12.

A function that can be made as large or as small as possible Learn more in: Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment

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The function that is to be optimized. In a minimization problem, the fitness varies inversely as the objective function. Learn more in: Improving Energy Efficiency in Industry 4.0 With Multi-Objective Optimization

14.

Defines the purpose of optimization. It is expressed as profit maximization or cost minimization. Learn more in: Decision-Making for Biomass Harvesting Routing by using the Simulated Annealing

15.

A positive function of the difference between predictions and data estimates that are chosen so as to optimize the function or criterion. Learn more in: Classification and Ranking Belief Simplex

16.

The function that is to be optimized. In a minimization problem, the fitness varies inversely as the objective function Learn more in: Multi-Objective Evolutionary Algorithms

17.

Is a mathematical expression that minimizes or maximizes a linear or nonlinear problem. Learn more in: The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution

18.

An objective function is one which we want to minimize or maximize. Learn more in: From Optimization to Clustering: A Swarm Intelligence Approach

19.

A function which when supplied a number of parameters relating to an optimisation problem, will return a value identifying the suitability of those parameters as a solution to the problem. Equivalent to fitness function, evaluation function. Learn more in: Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering

20.

A mathematical expressions that describes the problem’s objective. Learn more in: Nonlinear Programming