Results 21 to 30 of about 2,235,647 (195)
IEEE Access, 2022 As the working efficiency and life span of the shovel plate of a roadheader directly influence its performance, optimization of the shovel-plate parameters is crucial. For optimizing the shovel-plate parameters, the variations in the loading capacity and
Qiang Li, Songyong Liu, Mengdi Gao
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Abstract and Applied Analysis, 2014 A calmness condition for a general multiobjective optimization problem with equilibrium constraints is proposed. Some exact penalization properties for two classes of multiobjective penalty problems are established and shown to be equivalent to the ...
Shengkun Zhu, Shengjie Li
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Research on Fish Slicing Method Based on Simulated Annealing Algorithm
Applied Sciences, 2021 Multiobjective optimization is a common problem in the field of industrial cutting. In actual production settings, it is necessary to rely on the experience of skilled workers to achieve multiobjective collaborative optimization.
Shuo Liu, Hao Wang, Yong Cai
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Stochastic Fractal Based Multiobjective Fruit Fly Optimization
International Journal of Applied Mathematics and Computer Science, 2017 The fruit fly optimization algorithm (FOA) is a global optimization algorithm inspired by the foraging behavior of a fruit fly swarm. In this study, a novel stochastic fractal model based fruit fly optimization algorithm is proposed for multiobjective ...
Zuo Cili +3 more
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Introduction to Multiobjective Optimization : Interactive Approaches
, 2008 We give an overview of interactive methods developed for solving nonlinear multiobjective optimization problems. In interactive methods, a decision maker plays an important part and the idea is to support her/him in the search for the most preferred ...
Wierzbicki, A.P. +2 more
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A Quantum Adiabatic Algorithm for Multiobjective Combinatorial Optimization
Axioms, 2019 In this work we show how to use a quantum adiabatic algorithm to solve multiobjective optimization problems. For the first time, we demonstrate a theorem proving that the quantum adiabatic algorithm can find Pareto-optimal solutions in finite-time ...
Benjamín Barán, Marcos Villagra
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Evolutionary multiobjective optimization via efficient sampling-based offspring generation
Complex & Intelligent Systems, 2023 With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms (EAs) with different decision variable handling strategies have been proposed in recent years. They mainly emphasize the
Cheng He +3 more
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Orthogonality in multiobjective optimization
Applied Mathematics Letters, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alejandro Balbás +2 more
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Direct Multisearch for Multiobjective Optimization [PDF]
SIAM Journal on Optimization, 2011 In practical applications of optimization it is common to have several conflicting objective functions to optimize. Frequently, these functions are subject to noise or can be of black-box type, preventing the use of derivative-based techniques. We propose a novel multiobjective derivative-free methodology, calling it direct multisearch (DMS), which ...
Ana Luísa Custódio +3 more
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International Journal of Distributed Sensor Networks, 2015 Based on multiobjective particle swarm optimization, a localization algorithm named multiobjective particle swarm optimization localization algorithm (MOPSOLA) is proposed to solve the multiobjective optimization localization issues in wireless sensor ...
Ziwen Sun +3 more
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