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What is Objective Function

Chapter 23
Encyclopedia of Information Science and Technology, Third Edition
The function, which is optimized within an optimization approach and the related problem.
Published in Chapter:
Present State of Swarm Intelligence and Future Directions
Utku Kose (Usak University, Turkey)
Copyright: © 2015 |Pages: 14
DOI: 10.4018/978-1-4666-5888-2.ch023
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 13
Hybrid Bare Bones Fireworks Algorithm for Load Flow Analysis of Islanded Microgrids
The function whose value is intended to be minimized or maximized through the optimization process.
Published in Chapter: Hybrid Bare Bones Fireworks Algorithm for Load Flow Analysis of Islanded Microgrids; From: Handbook of Research on Fireworks Algorithms and Swarm Intelligence
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Chapter 47
Goal Programming and Its Variants
This is the function to be minimized or maximized, representing cost or profit, and so forth.
Published in Chapter: Goal Programming and Its Variants; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 231
Unconstrained Optimization in Business Analytics
A function of the decision variables that is to be maximized or minimized.
Published in Chapter: Unconstrained Optimization in Business Analytics; From: Encyclopedia of Business Analytics and Optimization
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Chapter 4
A System on Chip Development of Customizable GA Architecture for Real Parameter Optimization Problem
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.
Published in Chapter: A System on Chip Development of Customizable GA Architecture for Real Parameter Optimization Problem; From: Handbook of Research on Natural Computing for Optimization Problems
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Chapter 66
Defining a Business-Driven Optimization Problem
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.
Published in Chapter: Defining a Business-Driven Optimization Problem; From: Encyclopedia of Business Analytics and Optimization
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Chapter 74
Neural Network Time Series Forecasting Using Recency Weighting
Objective function is a mathematical function to be optimized.
Published in Chapter: Neural Network Time Series Forecasting Using Recency Weighting; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 4
Nature Inspired Methods for Multi-Objective Optimization
The function that is to be optimized. In multi-objective optimization, several such functions need to be optimized simultaneously.
Published in Chapter: Nature Inspired Methods for Multi-Objective Optimization; From: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
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Chapter 455
Object Classification Using CaRBS
A positive function of the difference between predictions and data estimates that are chosen so as to optimise the function or criterion.
Published in Chapter: Object Classification Using CaRBS; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 3
Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem
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Chapter 127
Linear Programming
A mathematical expression that describes the problem’s objective.
Published in Chapter: Linear Programming; From: Encyclopedia of Business Analytics and Optimization
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Chapter 7
Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment
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Chapter 10
Improving Energy Efficiency in Industry 4.0 With Multi-Objective Optimization
The function that is to be optimized. In a minimization problem, the fitness varies inversely as the objective function.
Published in Chapter: Improving Energy Efficiency in Industry 4.0 With Multi-Objective Optimization; From: Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing
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Chapter 7
Decision-Making for Biomass Harvesting Routing by using the Simulated Annealing
Defines the purpose of optimization. It is expressed as profit maximization or cost minimization.
Published in Chapter: Decision-Making for Biomass Harvesting Routing by using the Simulated Annealing; From: Optimization and Decision-Making in the Renewable Energy Industry
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Chapter 9
Classification and Ranking Belief Simplex
A positive function of the difference between predictions and data estimates that are chosen so as to optimize the function or criterion.
Published in Chapter: Classification and Ranking Belief Simplex; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 167
Multi-Objective Evolutionary Algorithms
The function that is to be optimized. In a minimization problem, the fitness varies inversely as the objective function
Published in Chapter: Multi-Objective Evolutionary Algorithms; From: Encyclopedia of Artificial Intelligence
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Chapter 6
The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution
Is a mathematical expression that minimizes or maximizes a linear or nonlinear problem.
Published in Chapter: The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution; From: Research Advancements in Smart Technology, Optimization, and Renewable Energy
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Chapter 19
From Optimization to Clustering: A Swarm Intelligence Approach
An objective function is one which we want to minimize or maximize.
Published in Chapter: From Optimization to Clustering: A Swarm Intelligence Approach; From: Handbook of Research on Artificial Intelligence Techniques and Algorithms
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Chapter 4
Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering
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.
Published in Chapter: Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering; From: Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies
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Chapter 147
Nonlinear Programming
A mathematical expressions that describes the problem’s objective.
Published in Chapter: Nonlinear Programming; From: Encyclopedia of Business Analytics and Optimization
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