Robust optimization model for uncertain multiobjective linear programs
Journal of Inequalities and Applications, 2018 In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems.
Lei Wang, Min Fang
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Multiobjective optimization of echo state networks for multiple motor pattern learning [PDF]
, 2010 Krause AF, Dürr V, Bläsing B, Schack T. Multiobjective optimization of echo state networks for multiple motor pattern learning. In: Tetzlaff R, Schwarz W, Kelber K, eds. 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems : NDES 2010.
Schwarz, W. +6 more
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Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks [PDF]
, 2007 Congress on Evolutionary Computation. Singapore, 25-28 September 2007A mobile adhoc network (MANETs) is a self-configuring network of mobile routers (and associated hosts).
A. Cervantes +10 more
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SSPMO: A scatter tabu search procedure for non-linear multiobjective optimization
, 2005 — We describe the development and testing of a metaheuristic procedure, based on the scatter search methodology, for the problem of approximating the efficient frontier of nonlinear multiobjective optimization problems with continuous variables.
Julián Molina +5 more
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A Multiobjective Brain Storm Optimization Algorithm Based on Decomposition
Complexity, 2019 Brain storm optimization (BSO) algorithm is a simple and effective evolutionary algorithm. Some multiobjective brain storm optimization algorithms have low search efficiency. This paper combines the decomposition technology and multiobjective brain storm
Cai Dai, Xiujuan Lei
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Reliability-based multiobjective optimization using the satisficing trade-off method
Mechanical Engineering Journal, 2014 This study proposes a reliability-based multiobjective optimization (RBMO) approach using the satisficing trade-off method (STOM). STOM is a multiobjective optimization method that obtains a highly accurate single Pareto solution, regardless of the shape
Nozomu KOGISO +2 more
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Multiobjective optimization for multiproduct batch plant design under economic and environmental considerations [PDF]
, 2006 This work deals with the multicriteria cost–environment design of multiproduct batch plants, where the design variables are the size of the equipment items as well as the operating conditions.
Dietz, Adrian +7 more
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The Multiobjective Control Based on Tolerance Optimization in a Multienergy System
International Transactions on Electrical Energy SystemsTo address the issue of multiobjective control in multienergy systems with diverse operational objectives, a two-stage optimization framework based on expected point tolerance has been proposed in this paper.
Suliang Ma +4 more
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MULTIOBJECTIVE OPTIMIZATION (MOO) IN PRIVATIZATION
Journal of Business Economics and Management, 2004 Deregulation of public enterprises and services by privatization is very fashionable nowadays. The aim of privatization is mainly to increase effectiveness, while the government itself likes to maximize its revenue at the occasion of the takeover.
openaire +5 more sources
Multiobjective Optimization, Scalarization, and Maximal Elements of Preorders
Abstract and Applied Analysis, 2018 We characterize the existence of (weak) Pareto optimal solutions to the classical multiobjective optimization problem by referring to the naturally associated preorders and their finite (Richter-Peleg) multiutility representation.
Paolo Bevilacqua +2 more
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