What is Optimization

1.

A problem or solution procedure which aims to find the optimal solutions to the objective function or functions under constraints. Learn more in: Cuckoo Search for Optimization and Computational Intelligence

2.

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. ). Learn more in: Parameter Optimization of Photovoltaic Solar Cell and Panel Using Genetic Algorithms Strategy

3.

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. Learn more in: Analysis of Gravitation-Based Optimization Algorithms for Clustering and Classification

4.

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. Learn more in: Performances of Adaptive Cuckoo Search Algorithm in Engineering Optimization

5.

The process of finding the best one out of all feasible solutions. Learn more in: Realizing the Need for Intelligent Optimization Tool

6.

the process in which there are various alternatives and the selection of best alternatives among them all is an optimization. Learn more in: Insulin DNA Sequence Classification Using Levy Flight Bat With Back Propagation Algorithm

7.

It is as an underlying method to find feasible solutions of defined problems of different domains. Learn more in: Quantum Behaved Swarm Intelligent Techniques for Image Analysis: A Detailed Survey

8.

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. Learn more in: From Optimization to Clustering: A Swarm Intelligence Approach

9.

Optimization is a process to find the best solution among alternatives and is based on iterations of working sessions. Learn more in: Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks

10.

From scientific viewpoint, optimization is a systematically developed process to reach best solution under defined constraints and assumptions. Learn more in: Reverse Logistics Design with Neural Networks

11.

It is the process of making the best or most effective use of a situation or resource. Learn more in: A Study on Evolutionary Technique to Predict the Sales During COVID-19

12.

Optimization is a mathematical procedure to select the best decision variables from a set of alternatives to get the optimum objective value. Learn more in: Optimization of Drilling Parameters for Composite Laminate Using Genetic Algorithm

13.

The art of finding maxima/minima over the decision variable space Learn more in: Optimization of Natural Gas Liquefaction Process

14.

The process of maximizing profitable characteristics, ratios and minimizing costs. Learn more in: Calculation of Receipt of Renewable Energy Resources and Operation Modes of Power Plants

15.

It is a scientific discipline that deals with the detection of the optimal solutions among the alternatives. Learn more in: Design of Linear Phase FIR Low Pass Filter Using Mutation-Based Particle Swarm Optimization Technique

16.

Is the selection of a best element (with regard to some criteria) from some set of available alternatives. Learn more in: Optimizing the Reconfiguration of Machining Desktop Micro-Factory Based on Scheduling Simulation

17.

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. Learn more in: Multi-Objective Generation Scheduling Using Genetic-Based Fuzzy Mathematical Programming Technique

18.

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. Learn more in: A Genetic Algorithm's Approach to the Optimization of Capacitated Vehicle Routing Problems

19.

Finding the minima or maxima of functions, subject to the given constraints. Learn more in: Hybrid Swarm Intelligence

20.

Optimization means the process of finding the best solution(s) of a particular problem(s). Learn more in: Modified Multi-Grey Wolf Pack for Vital Sign-Based Disease Identification

21.

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. Learn more in: Inter and Intra Cities Smartness: A Survey on Location Problems and GIS Tools

22.

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. Learn more in: Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture

23.

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). Learn more in: A Fuzzy Multi-Agent System for Combinatorial Optimization

24.

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. Learn more in: Robust Optimization Algorithms for Solving Automatic Generation Control of Multi-Constrained Power System: Robustness Study of AGC Problem in Power System

25.

The selection of a best element (with regard to some criteria) from some set of available alternatives. Learn more in: Energy-Efficient Power Allocation for HARQ Systems

26.

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. Learn more in: Term Rewriting-Based Programming

27.

An act or process of finding an alternative with the most cost effective or highest performance under the given constraints. Learn more in: Data Clustering Using Sine Cosine Algorithm: Data Clustering Using SCA

28.

The mathematical approach for finding the most appropriate solution for a problem function having some pre-determined constraints. Learn more in: Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems

29.

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). Learn more in: Discrete Event Simulation in Inventory Management

30.

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. Learn more in: Resource Allocation in OFDMA as an Optimization Problem

31.

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. Learn more in: Metaheuristic Design Patterns: New Perspectives for Larger-Scale Search Architectures

32.

Optimization is the process of adjusting a trading system in an attempt to make it more effective. Learn more in: Detection Approaches for Categorization of Spam and Legitimate E-Mail

33.

The action to find the best or the most effective solution of a problem. Learn more in: An Optimal Photovoltaic Conversion System for Future Smart Grids

34.

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). Learn more in: Discrete Event Simulation in Inventory Management

35.

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. Learn more in: Big Data Analytics for Search Engine Optimization in Intelligent Business

36.

The problem of finding the best solution from all feasible solutions. Learn more in: Exploring Coverage within Wireless Sensor Networks through Evolutionary Computations

37.

A process or methodology of creating a system as fully functional as possible. Learn more in: Real World Applications: Using Technology to Improve Supply Chain Management and Total Asset Visibility (TAV)

38.

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. Learn more in: Application of Optimization to Sizing Renewable Energy Systems and Energy Management in Microgrids: State of the Art and Trends

39.

Action to obtain the best, to improve functioning, performance, use. Learn more in: A Bio-Inspired Approach to Solve the Problem of Regular Carpooling

40.

Find values of the variables that minimize or maximize the objective function while satisfying the constraints. Learn more in: An Artificial Immune Dynamical System for Optimization

41.

Optimization is the technique to improve the accuracy of the model by tuning learning weights. Learn more in: Deep Learning in Engineering Education: Performance Prediction Using Cuckoo-Based Hybrid Classification

42.

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. Learn more in: A Review on Applications of Quantum Computing in Machine Learning

43.

To find out best possible solution for a given problem within the given constraint is generally termed as optimization. Learn more in: Localization System Optimization in Wireless Sensor Networks (LSO-WSN)

44.

It is the selection of the best value based on some criteria from some set of available alternatives. Learn more in: Simulation Optimization and a Case Study

45.

The process of maximizing profitable characteristics, ratios and minimizing costs. Learn more in: Prospects for Energy Supply of the Arctic Zone Objects of Russia Using Frost-Resistant Solar Modules

46.

Optimization is the method of determining the optimal value of a system. Learn more in: Evolutionary Computing Approaches to System Identification

47.

An analytical procedure for allocating scarce resources among competing alternatives in such a way as to achieve one or more goals. Learn more in: Teaching and Using Analytics in Management Education

48.

Find values of the variables that minimize or maximize the objective function while satisfying the constraints. Learn more in: Feature Selection Based on Clonal Selection Algorithm: Evaluation and Application

49.

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. Learn more in: Portfolio Optimization using Rank Correlation

50.

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. Learn more in: Reactive Power Loss Index for Identification of Weak Nodes and Reactive Compensation Analysis to Improve Steady State Voltage Stability

51.

A term used to find maximum or minimum value of any defined objective function. Learn more in: Optimum Gray Level Image Thresholding using a Quantum Inspired Genetic Algorithm

52.

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. Learn more in: Harmony Search for Multiple Dam Scheduling

53.

The process of maximizing desired qualities, and minimizing undesirable one. Learn more in: Application of Standard Deviation Method Integrated PSO Approach in Optimization of Manufacturing Process Parameters

54.

The process of maximizing profitable characteristics, ratios and minimizing costs. Learn more in: Application of the Software System of Finite Element Analysis for the Simulation and Design Optimization of Solar Photovoltaic Thermal Modules

55.

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. Learn more in: Quantum Inspired Swarm Optimization for Multi-Level Image Segmentation Using BDSONN Architecture

56.

Process of finding the solution that is the best fit to the available resources. Learn more in: Adaptive Business Intelligence

57.

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. Learn more in: Cuckoo Search Algorithm

58.

Selection of a best element, with regard to some criterion, from some set of available alternatives. Learn more in: Optimal Charging Management of Microgrid-Integrated Electric Vehicles

59.

A method for finding single or more feasible solutions which corresponds to minimum or maximum values of single or more objectives. Learn more in: Multilevel and Color Image Segmentation by NSGA II Based OptiMUSIG Activation Function

60.

The act of making something as good as possible. Learn more in: Artificial Intelligence: Current Issues and Applications

61.

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. Learn more in: Artificial Life Optimization Algorithm and Applications

62.

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. Learn more in: Optimization and Simulation of Additive Manufacturing Processes: Challenges and Opportunities – A Review

63.

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. Learn more in: Mastering Customer Service, Customer Experience, and Customer Orientation in the Hospitality and Tourism Industry

64.

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. Learn more in: Artificial Bee Colony Algorithm

65.

The technique or process of making something as fully effective as possible. Learn more in: Improvement of the Optimization of an Order Picking Model Associated With the Components of a Classic Volkswagen Beetle Using an Ant Colony Approach

66.

It is an act, process, or methodology to make something as perfect, functional, or effective as possible. Learn more in: Home Load-Side Management in Smart Grids Using Global Optimization

67.

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. Learn more in: Application of Soft Computing Techniques for Renewable Energy Network Design and Optimization

68.

Is a process to get target particle size, finding best concentrations of reagents with a percent of confidence. Learn more in: Optimizing the Size of Drug-Loaded Nanoparticles Using Design of Experiments: Solid Lipid Nanoparticles

69.

A technique for determining single or more feasible solutions which corresponds to minimum or maximum values of single or more objectives. Learn more in: Multilevel Image Segmentation by a Multiobjective Genetic Algorithm Based OptiMUSIG Activation Function

70.

The maximization or minimization of an objective function that depends on a finite number of decision variables. Learn more in: Unconstrained Optimization in Business Analytics

71.

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. Learn more in: Nature-Inspired Cooperative Strategies for Optimization

72.

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. Learn more in: Intellectual Property Management by Innovative Firms: Evidence From Tunisia

73.

It is the process in which there are various alternatives and the selection of best alternatives among them all is an optimization. Learn more in: Optimizing Learning Weights of Back Propagation Using Flower Pollination Algorithm for Diabetes and Thyroid Data Classification

74.

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. Learn more in: Applying CI in Biology through PSO

75.

The mathematical approach for finding the most appropriate solution for a problem function having some pre-determined constraints. Learn more in: Present State of Swarm Intelligence and Future Directions

76.

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). Learn more in: Simulation to Improve Management of Perishable and Substitutable Inventory

77.

The collection of transactions that find the best results among the alternative solutions. Learn more in: Managing Transportation in Supply Chain: Metaheuristics for Solving a Capacitated Fixed-Charge Transportation Problem

78.

The act of rendering optimal. Learn more in: The Use of Soft Computing in Management

79.

It is a process of finding the optimal (maximum or minimum) value of a function called the objective function subject to certain constraints. Learn more in: An Uncertainty-Based Model for Optimized Multi-Label Classification

80.

A mathematical technique for finding a maximum or minimum value of a function of several variables subject to a set of constraints. Learn more in: Investigating the Effect of Process Parameters in Incremental Sheet Forming Process

81.

The action of making the best or most effective use of a situation or resource. Learn more in: Quantifying Economic Uncertainties and Risks in the Oil and Gas Industry

82.

The process of maximizing or minimizing an objective function. Learn more in: Constrained Nonlinear Optimization in Information Science

83.

Process to improve a given objective by variation of free parameters. Learn more in: Optimization of Tuned Mass Dampers to Improve the Earthquake Resistance of High Buildings

84.

Finding the best available. Learn more in: Data Science in Economics and Business: Roots and Applications

85.

Are the minimum resource utilization for the manufacture of any articles or manufacturing processes. Learn more in: Factorial Design for Reduction of Variation on Plastic Parts Weight: Plastic Parts Weight and Injection Molding

86.

To make something such as a method or process as good or as effective as possible. Learn more in: Optimum Allocation of Transmission Technologies for Solving the BTS Interconnection Problem in Cellular Systems

87.

Process of finding the effective solution by minimizing or maximizing the fitness function. Learn more in: Nature-Inspired-Algorithms-Based Cellular Location Management: Scope and Applications

88.

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. Learn more in: Optimization of the Angle of Twist of Propeller Using Modified Flower Pollination Algorithm

89.

Is the selection of a best element from some set of available alternatives with regard to some criteria. Learn more in: Dot Net Platform for Distributed Evolutionary Algorithms with Application in Hydroinformatics

90.

The process of making something perfect or effective as possible. Learn more in: AI-Empowered 6G and Next Generation Networks

91.

Determining the best solution(s) among feasible alternatives. Learn more in: Artificial Intelligence for Sustainable Humanitarian Logistics

92.

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. Learn more in: Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability

93.

Reduction of redundant and not necessary information or procedures. Learn more in: Integrated Multi-Scalar Approach for 3D Cultural Heritage Acquisitions

94.

It is the action of making the finest or most successful use of a situation or resource. Learn more in: Enrichment of Distribution System Stability Through Artificial Bee Colony Algorithm and Artificial Neural Network

95.

Practice that allows establishing the right variables involved in a process or experiment to achieve the best results. Learn more in: The Design of Experiments as a Methodological Framework for the Improvement of Manufacturing Processes

96.

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. Learn more in: Multiple-Objective Fractional TP with Impurities

97.

The identification of the best solution (with regard to some criteria and from a set of available alternatives) to a given problem. Learn more in: Algorithms-Aided Sustainable Urban Design: Geometric and Parametric Tools for Transit-Oriented Development

98.

The process of finding the best and optimal solution in machine learning algorithms. Learn more in: A Review of Supportive Computational Approaches for Neurological Disorder Identification

99.

Process to define the optimal state of a system in accordance with previously fixed objectives. Learn more in: Statistical Understanding and Optimization of Building Energy Consumption and Climate Change Consequences

100.

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. Learn more in: Visualization and Storage of Big Data for Linguistic Applications

101.

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. Learn more in: Hybrid Bare Bones Fireworks Algorithm for Load Flow Analysis of Islanded Microgrids

102.

Is the process of searching timely best optimal value among all the given alternatives. Learn more in: Optimal Sizing of Hybrid Wind and Solar Renewable Energy System: A Case Study of Ethiopia

103.

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). Learn more in: Data Science for Business Analytics and Business Intelligence

104.

A mathematical technique for finding a maximum or minimum value of a function of several variables subject to a set of constraints. Learn more in: Optimization of Surface Roughness in Centreless Grinding Process Based on Taguchi Method

105.

The process of maximizing or minimizing an objective function. Learn more in: Constrained Nonlinear Optimization in Business