What is Optimization

In mathematics, computer science, economics, or management science, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives. In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding “best available” values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains (Wikipedia, 2015 AU159: The in-text citation "Wikipedia, 2015" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ).

It is the technique of selecting the most feasible solution for the given problem. The nature-inspired algorithms such as GSA, PSO, GA, etc. are the best examples of optimization.

The action to identify the best available solutions which either maximize or minimize a given objective function, while conforming to a set of prescribed constraints.

The process of finding the best one out of all feasible solutions.

the process in which there are various alternatives and the selection of best alternatives among them all is an optimization.

It is as an underlying method to find feasible solutions of defined problems of different domains.

Refers to the process of finding the best possible features for a given problem or objective, subject to constraints and limitations.

Optimization is the process of finding the conditions that give the maximum or minimum of a function. It is an act of obtaining the best result under given circumstances.

Optimization is a process to find the best solution among alternatives and is based on iterations of working sessions.

From scientific viewpoint, optimization is a systematically developed process to reach best solution under defined constraints and assumptions.

It is the process of making the best or most effective use of a situation or resource.

Optimization is a mathematical procedure to select the best decision variables from a set of alternatives to get the optimum objective value.

The art of finding maxima/minima over the decision variable space

The process of maximizing profitable characteristics, ratios and minimizing costs.

It is a scientific discipline that deals with the detection of the optimal solutions among the alternatives.

Is the selection of a best element (with regard to some criteria) from some set of available alternatives.

Is the process of making something better. An engineer or scientist conjures up a new idea and optimization improves on that idea. Optimization consists in trying variations on an initial concept and using the information gained to improve on the idea. Optimization is everywhere, from engineering design to financial markets, from our daily activity to planning our holidays, and computer sciences to industrial applications. We always intend to maximize or minimize something.

The process of finding the maxima or minima of either a single (mono-objective) or of several (multi-objective) functions over a set of a constrained set of alternatives.

Finding the minima or maxima of functions, subject to the given constraints.

Optimization means the process of finding the best solution(s) of a particular problem(s).

A systematic process that is followed with the objective of finding the conditions that will give the maximum or minimum of a function and to obtain the best solution under ?defined constraints and assumptions.

Optimization is the design and operation of a system or process to make it as good as possible in some defined sense, it is the action of making the best or most effective use of a situation or resource.

Process of improving a system in certain ways to reduce the effective runtime, the bandwidth or memory requirements. Despite its name, optimization does not necessarily mean finding the optimum solution to a problem. Often this is not possible and heuristic algorithms must be used instead (Wolpert, 1997).

The word optimization is originated from Latin word optimus , meaning “the best or most favorable point.” Optimization is the process of making something better. In other words, optimization refers to the process of exploring the best possible solutions for a given problem.

The selection of a best element (with regard to some criteria) from some set of available alternatives.

The transformation which preserves a program behavior (a result for a given input data) and increases program performance, for example, in regard to execution time.

An act or process of finding an alternative with the most cost effective or highest performance under the given constraints.

The mathematical approach for finding the most appropriate solution for a problem function having some pre-determined constraints.

A procedure to make a system or a process as efficient as possible. Optimization usually requires mathematical techniques to find the best possible solutions to a problem. In inventory management, optimization often relates to calculating how much inventory to hold (to meet customer demand) while holding as little as possible (to minimize the costs of holding inventory).

Area of applied math, which specializes in selecting the best element within a given set, with respect to established criteria, using known principles and methods.

The selection of the best element(s) (regarding some criterion(a)) from a set of available possibilities. In the computer science ‘black box’ model of computing, optimization refers to maximizing or minimizing input values for a given black box model of the world to achieve the best output values. More generally, optimization involves finding best available values to some objective function for a defined problem domain.

Optimization is the process of adjusting a trading system in an attempt to make it more effective.

The action to find the best or the most effective solution of a problem.

A procedure to make a system or a process as efficient as possible. Optimization usually requires mathematical techniques to find the best possible solutions to a problem. In inventory management, optimization often relates to calculating how much inventory to hold (to meet customer demand) while holding as little as possible (to minimize the costs of holding inventory).

Optimization is the act of enhancing the performance of your website via the use of tools, technical strategies, and studies in terms of enhancing traffic, sales, and revenues.

The problem of finding the best solution from all feasible solutions.

A process or methodology of creating a system as fully functional as possible.

Optimization is the process of choosing the best element from a set of available alternatives under some constraints. This process amounts to minimizing or maximizing the objective or cost function of the problem.

Action to obtain the best, to improve functioning, performance, use.

Find values of the variables that minimize or maximize the objective function while satisfying the constraints.

Process of improving efficiency, reducing costs, and maximizing profits under the certain conditions and constraints by using various strategies and techniques. It is generally centered through improvement of communication among employees and management, proper documentation, improving employees’ skills through training and hiring quality manpower in various positions.

Optimization is the technique to improve the accuracy of the model by tuning learning weights.

An optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete. An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set. A problem with continuous variables is known as a continuous optimization, in which an optimal value from a continuous function must be found. They can include constrained problems and multimodal problems.

To find out best possible solution for a given problem within the given constraint is generally termed as optimization.

It is the selection of the best value based on some criteria from some set of available alternatives.

The process of maximizing profitable characteristics, ratios and minimizing costs.

Optimization is the method of determining the optimal value of a system.

An analytical procedure for allocating scarce resources among competing alternatives in such a way as to achieve one or more goals.

Find values of the variables that minimize or maximize the objective function while satisfying the constraints.

A model that allows the selection of a set of decisions on a system to maximize or minimize an objective criterion specified by the decision maker in the presence of certain constraints on system performance.

A mathematical method to find the solution of a problem towards achieving better performance either in form of minimum or maximum under one or more given constraint.

A term used to find maximum or minimum value of any defined objective function.

Process of seeking to optimize (minimize or maximize) an objective function while satisfying all problem constraints by choosing the values of continuous or discrete variables.

The process of maximizing desired qualities, and minimizing undesirable one.

The process of maximizing profitable characteristics, ratios and minimizing costs.

Optimization is the process of finding the greatest or least value of a function for some constraint, which must be true regardless of the solution. In other words, optimization finds the most suitable value for a function within a given domain.

Process of finding the solution that is the best fit to the available resources.

Using different solution methods to find best or near optimal solutions (with minimum cost or maximum performance) under the effect of controllable factors (inputs and outputs) in an acceptable time for quantitative problems.

Selection of a best element, with regard to some criterion, from some set of available alternatives.

A method for finding single or more feasible solutions which corresponds to minimum or maximum values of single or more objectives.

The act of making something as good as possible.

The study of problems in which one seeks to minimize or maximize a real function by systematically choosing the values of real or integer variables from within an allowed set.

Optimization is a process or technique involved in a system, design, or decision making in order to make it fully functional, perfect or effective as much as possible. An optimization problem is a mathematical formulation wherein, design parameters or variables needs to be identified or determined to achieve the best measurable performance or objective function, by considering the given constraints.

The investigation of an alternative with the most cost effective or highest achievable performance under the given constraints, by maximizing desired factors and minimizing undesired ones.

Using different solution methods to find best or near optimal solutions (with minimum cost or maximum performance) under the effect of controllable factors (inputs and outputs) in an acceptable time for quantitative problems.

The technique or process of making something as fully effective as possible.

It is an act, process, or methodology to make something as perfect, functional, or effective as possible.

In mathematics, computer science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.

Is a process to get target particle size, finding best concentrations of reagents with a percent of confidence.

A technique for determining single or more feasible solutions which corresponds to minimum or maximum values of single or more objectives.

The maximization or minimization of an objective function that depends on a finite number of decision variables.

Process of improving a system in certain ways to reduce the effective runtime, its memory requirements, different kinds of costs… Despite its name, optimization does not necessarily mean finding the optimum solution to a problem. Often this is not possible and heuristic algorithms must be used instead.

Finding an alternative way to achieve the highest performance or the most effective cost under the given constraints, by minimizing undesired factors and maximizing desired ones.

It is the process in which there are various alternatives and the selection of best alternatives among them all is an optimization.

A mathematical method to find the solution of a problem towards achieving better performance either in form of minimum or maximum under one or more given constraint.

The mathematical approach for finding the most appropriate solution for a problem function having some pre-determined constraints.

A procedure to make a system or a process as effective as possible. Optimization usually requires mathematical techniques to find the best possible solutions to a problem. In inventory management, optimization often relates to calculating how much inventory to hold (to meet customer demand) while holding as little as possible (to minimize the costs of holding inventory).

The collection of transactions that find the best results among the alternative solutions.

The act of rendering optimal.

It is a process of finding the optimal (maximum or minimum) value of a function called the objective function subject to certain constraints.

A mathematical technique for finding a maximum or minimum value of a function of several variables subject to a set of constraints.

The action of making the best or most effective use of a situation or resource.

The process of maximizing or minimizing an objective function.

Process to improve a given objective by variation of free parameters.

Finding the best available.

Are the minimum resource utilization for the manufacture of any articles or manufacturing processes.

To make something such as a method or process as good or as effective as possible.

Process of finding the effective solution by minimizing or maximizing the fitness function.

It is a process of finding the best combination of design variables that achieve the objective of the problem without evaluation on all possible combination.

Is the selection of a best element from some set of available alternatives with regard to some criteria.

The process of making something perfect or effective as possible.

Determining the best solution(s) among feasible alternatives.

A mathematical method to find the solution of a problem towards achieving better performance either in form of minimum or maximum under one or more given constraints.

Reduction of redundant and not necessary information or procedures.

It is the action of making the finest or most successful use of a situation or resource.

Practice that allows establishing the right variables involved in a process or experiment to achieve the best results.

Finding an alternative with the most cost effective or highest achievable performance under the given constraints, by maximizing desired factors and minimizing undesired ones is referred to as business optimization. In comparison, maximization means trying to attain the highest or maximum result or outcome without regard to cost or expanse.

The identification of the best solution (with regard to some criteria and from a set of available alternatives) to a given problem.

The process of finding the best and optimal solution in machine learning algorithms.

Process to define the optimal state of a system in accordance with previously fixed objectives.

Constraints: This is an operation whose goal is to find the best value for some function (a target function) under the given constraints, for example, to obtain the best smoothness of a picture without exceeding the given number of pixels.

Optimization refers to a mathematical technique of obtaining the minimum or maximum value of a given function dependent on several variables. These variables depend on several constraints.

Is the process of searching timely best optimal value among all the given alternatives.

Optimization describes the process of finding the optimal solution for a certain problem that is characterized by a specific model and a corresponding objective (for example maximization of a quadratic revenue function).

A mathematical technique for finding a maximum or minimum value of a function of several variables subject to a set of constraints.

The process of maximizing or minimizing an objective function.

The process of making a system, such as a wireless network, as effective, functional, or efficient as possible. In wireless networks, this often involves maximizing data transmission efficiency while minimizing energy consumption and other costs.