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What is Pareto Optimality

Encyclopedia of Business Analytics and Optimization
A consumption allocation is Pareto optimal if it is not possible to increase the utility of some individual without decreasing the utility of someone else.
Published in Chapter:
Utility Function
Gino Favero (University of Parma, Italy)
Copyright: © 2014 |Pages: 9
DOI: 10.4018/978-1-4666-5202-6.ch232
Abstract
A utility function is a tool used to assign numerical values to a set of goods or services in order to allow for a numerical representation of the preferences of a rational individual. Though its first use dates back to the 18th century, the term “utility” does not appear until the late 19th century in Welfare Economics, and it is fully axiomatised only in the mid-20th century with the birth of Decision Theory, where the utility function is the central concept. Indeed, in several studies focused, e.g., on analysing the roles of the rationality axioms and their weakening, or in completing partial preferences, a utility function is always considered to be the proper tool to fully depict the attitude of an investor toward risk.
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Green ICT and Architectural Frameworks
A set of strategies S’ is said to be Pareto Optimal as compared to set of strategies S, if utility value of a player can be increased by replacing S with S’ without decreasing the utility value of other players.
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Insights Into Simulated Annealing
The quality of being optimal for a solution of any given multi-objective optimisation problem. Compared to mono-objective optimisation, the Pareto optimality is attained by means of a set of solutions, called Pareto set, rather than a single solution. A Pareto optimal solution corresponds to the best trade-off between all considered objective functions and implies no other solution exists that can improve at least one of the objective functions without any deterioration for any one of the others.
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Some Aspects of Estimators for Variance of Normally Distributed Data
Pareto optimality or efficiency is achieved over the multi-criteria for an estimator, when none of the component can be improved upon without making worse the other component.
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The Economic and Environmental Benefits of VMI Adoption in Multi-Retailer Systems
A state of allocation of resources in which it is impossible to make any single party better off without making at least one other party worse off.
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Game Theoretical Models in New Product Development
An outcome of a game is Pareto optimal if there is no other outcome that makes every player at least as well off and at least one player strictly better off. That is, a Pareto Optimal outcome cannot be improved upon without hurting at least one player. Often, an Equilibrium not Pareto Optimal implying that the players' payoffs can all be increased.
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