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A Load-Balancing-Aware Learning Framework for Collaborative UAV-MEC Computation Offloading. [PDF]
Sensors (Basel)Li H +7 more
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Physics-Constrained Neural ODEs for MXene Bandgap Prediction with Conformal Uncertainty. [PDF]
Nanomaterials (Basel)Kati N, Ucar F.
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Inference of marker genes of subtle cell state changes via iLR: iterative logistic regression. [PDF]
BioinformaticsLiu Y +3 more
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Guest Editorial: Computational Intelligence in Dynamic and Uncertain Environments
CAAI Transactions on Intelligence Technology, EarlyView.
Shouyong Jiang
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Localization sets for pareto eigenvalues with applications
Applied Mathematics Letters, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun He, Yanmin Liu, Xiaowei Shen
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The liberal paradox and the pareto set
Mathematical Social Sciences, 1985This paper examines the liberal paradox. When the set of alternatives, X, is a disjoint union of sets \(X_ i\), one for each voter, the liberal paradox occurs if and only if the Pareto set contains no element u of any \(X_ i\) such that voter i prefers u to any other element of \(X_ i.\) When the set of all preference profiles is given the equiprobable
Kim, Ki Hang, Roush, Fred W.
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Distributed Computation of Pareto Sets
SIAM Journal on Optimization, 2015The needs of multidisciplinary engineering design have motivated the development of distributed solution approaches to computing efficient solutions to decomposable multiobjective optimization problems (MOPs). The decomposition is necessary due to the assumption that the overall MOP is not solvable since access to its solution space is subproblem ...
Brian C. Dandurand, Margaret M. Wiecek
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Neighbourhood Search for constructing Pareto sets
Mathematical Methods of Operations Research, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gianluca Dorini +3 more
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Journal of Mathematical Economics, 1976
Abstract We use catastrophe theory to discuss the generic ways in which a system determined by the optimization of several real-valued functions, such as a pure exchange economy, can break its stability and make a transition from ‘slow’ to ‘fast’ movement.
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Abstract We use catastrophe theory to discuss the generic ways in which a system determined by the optimization of several real-valued functions, such as a pure exchange economy, can break its stability and make a transition from ‘slow’ to ‘fast’ movement.
openaire +1 more source