Pareto optimality, economy–effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons [PDF]
Open Biology, 2022 Neurons encounter unavoidable evolutionary trade-offs between multiple tasks. They must consume as little energy as possible while effectively fulfilling their functions. Cells displaying the best performance for such multi-task trade-offs are said to be
Peter Jedlicka +2 more
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Pareto optimal proxy metrics [PDF]
Applied Stochastic Models in Business and Industry, 2023 ABSTRACTNorth star metrics and online experimentation play a central role in how technology companies improve their products. In many practical settings, however, evaluating experiments based on the north star metric directly can be difficult. The two most significant issues are (1) low sensitivity of the north star metric and (2) differences between ...
Alessandro Zito +3 more
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An Efficient Pareto Optimal Resource Allocation Scheme in Cognitive Radio-Based Internet of Things Networks [PDF]
Sensors, 2022 The high data rates detail that internet-connected devices have been increasing exponentially. Cognitive radio (CR) is an auspicious technology used to address the resource shortage issue in wireless IoT networks.
Shahzad Latif +6 more
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The Mass-Longevity Triangle: Pareto Optimality and the Geometry of Life-History Trait Space. [PDF]
PLoS Computational Biology, 2015 When organisms need to perform multiple tasks they face a fundamental tradeoff: no phenotype can be optimal at all tasks. This situation was recently analyzed using Pareto optimality, showing that tradeoffs between tasks lead to phenotypes distributed on
Pablo Szekely +4 more
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Multi-objective optimization of design parameters for tractor hydro-mechanical continuously variable transmissions [PDF]
Scientific ReportsThe design parameters of the transmission directly affect the vehicle’s dynamics and fuel economy, due to the complexity of the tractor’s working conditions and operating modes, the optimization of the transmission design parameters is more difficult. In
Zhen Zhu +4 more
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Federated Learning Incentive Mechanism Design via Shapley Value and Pareto Optimality
Axioms, 2023 Federated learning (FL) is a distributed machine learning framework that can effectively help multiple players to use data to train federated models while complying with their privacy, data security, and government regulations.
Xun Yang +6 more
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Necessary and sufficient conditions for a Pareto optimal allocation in a discontinuous Gale economic model [PDF]
Opuscula Mathematica, 2014 In this paper we examine the concept of Pareto optimality in a simplified Gale economic model without assuming continuity of the utility functions. We apply some existing results on higher-order optimality conditions to get necessary and sufficient ...
Anna Michalak, Marcin Studniarski
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Optimal growth and Pareto optimality [PDF]
Journal of Mathematical Economics, 1991 Using the McKenzie-Montrucchio approach to optimal growth problems the authors show that in a stationary intertemporal economy with discrete infinite time span and recursive utilities for each of a finite numbers of agents, every Pareto optimum solution is a solution to a generalized McKenzie problem.
Dana Rose-anne, Le Van Cuong
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An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach [PDF]
Yugoslav Journal of Operations Research, 2011 In this paper, we extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers.
Abo-Sinna Mahmoud A. +1 more
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Systems and Soft Computing, 2023 In this paper, a new class of generalized convex optimization problems with a multiple interval-valued objective function is considered. The concepts of B-preinvexity, B-invexity, and the generalized of B-invexity are extended to interval-valued ...
Najeeb Abdulaleem
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