Search Results - "Multi-objective constrained optimization"
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A Bayesian approach to constrained single- and multi-objective optimization
ISSN: 0925-5001, 1573-2916Published: New York Springer US 01.01.2017Published in Journal of global optimization (01.01.2017)“…) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate…”
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Journal Article -
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Multi-objective constrained Bayesian optimization for structural design
ISSN: 1615-147X, 1615-1488, 1615-1488Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021Published in Structural and multidisciplinary optimization (01.02.2021)“…The planning and design of buildings and civil engineering concrete structures constitutes a complex problem subject to constraints, for instance, limit state constraints from design codes, evaluated…”
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Multi-objective evolutionary algorithms for fuzzy classification in survival prediction
ISSN: 0933-3657, 1873-2860, 1873-2860Published: Amsterdam Elsevier B.V 01.03.2014Published in Artificial intelligence in medicine (01.03.2014)“…) multi-objective constrained optimization of a patient's data set, using Pareto-based elitist multi-objective evolutionary algorithms to maximize accuracy and minimize the complexity (number of rules…”
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Characterization of geological uncertainties from limited boreholes using copula-based coupled Markov chains for underground construction
ISSN: 2467-9674, 2467-9674Published: Elsevier B.V 01.06.2024Published in Underground space (Beijing) (01.06.2024)“… The estimation of the TPMs is then re-casted as a multi-objective constrained optimization problem that aims to maximize the likelihoods of two independent…”
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Metaheuristic multi-objective optimization of constrained futures portfolios for effective risk management
ISSN: 2210-6502Published: Elsevier B.V 01.12.2014Published in Swarm and evolutionary computation (01.12.2014)“…In the Derivatives financial markets, Futures portfolios are perceived to be instruments of high risk, despite their flexibility of being used for portfolio…”
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Journal Article -
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A Bayesian approach to constrained single- and multi-objective optimization
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 09.05.2016Published in arXiv.org (09.05.2016)“…) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate…”
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Paper -
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Multi-objective optimization through differential evolution for restaurant design
Published: IEEE 01.07.2016Published in 2016 IEEE Congress on Evolutionary Computation (CEC) (01.07.2016)“… The contributions of the paper can be summarized as follows. We show that most architectural design problems are basically real-parameter multi-objective constrained optimization problems…”
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Conference Proceeding -
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Quantitative insights into the closed loop cardiovascular system using an electrical lumped element physiological model
ISBN: 9781479943463, 1479943460ISSN: 0276-6574Published: CCAL 01.09.2014Published in Computing in Cardiology 2014 (01.09.2014)“… The model parameters were determined using multi-objective constrained optimization in a typical inverse problem setup, and were subsequently associated with the subject specific factors using least…”
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Conference Proceeding -
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Psychophysical evaluation of control scheme designed for optimal kinesthetic perception in scaled teleoperation
ISBN: 9781424450381, 1424450381ISSN: 1050-4729Published: IEEE 01.05.2010Published in 2010 IEEE International Conference on Robotics and Automation (01.05.2010)“… The control problem is formulated as a multi-objective constrained optimization. The objective function is a metric which quantifies the detection and discrimination capacity of the human operator…”
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Conference Proceeding -
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An evolutionary approach for robust layout synthesis of MEMS
ISBN: 0780390474, 9780780390478ISSN: 2159-6247Published: IEEE 2005Published in IEEE/ASME International Conference on Advanced Intelligent Mechatronics (2005)“… The robust design problem is formulated as a multi-objective constrained optimisation problem after certain assumptions and treated with multiobjective genetic algorithm (MOGA…”
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Conference Proceeding

