Results 21 to 30 of about 777,757 (186)
Control vector parameterization with sensitivity based refinement applied to baking optimization [PDF]
, 2007 In bakery production, product quality attributes as crispness, brownness, crumb and water content are developed by the transformations that occur during baking and which are initiated by heating. A quality driven procedure requires process optimization
Boom, R.M. +4 more
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IEEE Access, 2023 A new optimization framework for a high-dynamic point-to-point direct drive motion control system (HDPDMS) is proposed. The conventional system optimization approach considers all design parameters simultaneously, resulting in a high-dimensional search ...
Chentao Tang +3 more
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IEEE Access, 2018 This paper proposes a two-stage universal adaptive stabilizer (UAS)-based optimization technique for an accurate and efficient estimation of Li-ion battery model parameters.
Hafiz M. Usman +2 more
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Development of a traditional transport system based on the bee colony algorithm [PDF]
E3S Web of Conferences, 2023 At present, a significant part of optimization problems, particularly questions of combinatorial optimization, are considered NP-complete problems. When solving optimization problems, the neural network approach increases the probability of obtaining an ...
Ziyadullaev Davron +5 more
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Frontiers in Blockchain, 2021 The energy system is becoming increasingly decentralized. This development requires integrating and coordinating a rising number of actors and small units in a complex system.
Andreas Zeiselmair +7 more
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Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization
, 2012 Memetic computation (MC) has emerged recently as a new paradigm of efficient algorithms for solving the hardest optimization problems. On the other hand, artificial bees colony (ABC) algorithms demonstrate good performances when solving continuous and ...
Brest, Janez +3 more
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A Sequential Approximation Framework for Coded Distributed Optimization
, 2017 Building on the previous work of Lee et al. and Ferdinand et al. on coded computation, we propose a sequential approximation framework for solving optimization problems in a distributed manner.
Gupta, Vipul +4 more
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IEEE Transactions on Information TheoryOptimization problems are a staple of today's scientific and technical landscape. However, at present, solvers of such problems are almost exclusively run on digital hardware. Using Turing machines as a mathematical model for any type of digital hardware, in this paper, we analyze fundamental limitations of this conceptual approach of solving ...
Yunseok Lee +2 more
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Conversion Rate Optimization through Evolutionary Computation
, 2017 Conversion optimization means designing a web interface so that as many users as possible take a desired action on it, such as register or purchase.
Brundage, Myles +9 more
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IEEE Access, 2020 Mobile-Edge Computing (MEC) addresses the shortcomings of mobile devices in terms of computing performance and energy efficiency by offloading computation tasks to the edge of the network.
Zhiyong Li, Chen Du, Shaomiao Chen
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