An Extension of the MULTIMOORA Method for Multiple Criteria Group Decision Making Based upon Hesitant Fuzzy Sets by Zhi-Hui Li

“…Furthermore, our study extends the MULTIMOORA (Multiple Objective Optimization on the basis of Ratio Analysis plus Full Multiplicative Form) method with HFSs. …”
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Computer 3D Scene Simulation of Ecological Landscape Layout Planning by Tong Ling, Yun Ma

“…OpenGL shader language was used for rendering, improved NSGA-II algorithm was used with the help of bionic logic of the genetic evolution process to achieve landscape land allocation optimization. The experimental result shows: through 3D scene view clipping hierarchical detail model and other techniques, the frame rate of 3D landscape vegetation scene drawing was improved. …”
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Image classification with rotation-invariant variational quantum circuits by Paul San Sebastian Sein, Mikel Cañizo, Román Orús

“…One of the main problems of variational methods lies in the phenomenon of barren plateaus, present in the optimization of variational parameters. Adding geometric inductive bias to the quantum models has been proposed as a potential solution to mitigate this problem, leading to a new field called geometric quantum machine learning. …”
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Vibration Analysis for Monitoring of Ancient Tie-Rods by L. Collini, R. Garziera, K. Riabova

“…Thus, the multidimensional optimization problem is solved. Results are analysed in comparison to a model with simple fixed-end boundary conditions. …”
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Plant Leaf Recognition through Local Discriminative Tangent Space Alignment by Chuanlei Zhang, Shanwen Zhang, Weidong Fang

“…The proposed method can embrace part optimization and whole alignment and encapsulate the geometric and discriminative information into a local patch. …”
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Particle-in-cell simulation of laser wakefield accelerators with oblique lasers in quasicylindrical geometry by Minghao Ma, Ming Zeng, Jia Wang, Guangwei Lu, Wenchao Yan, Liming Chen, Dazhang Li

“…As an example, we use this method in the scissor-cross ionization injection scheme for the optimization of the injected beam quality. This method is widely applicable to particle injections with assistant lasers in wakefield accelerators, as long as the assistant lasers only influence the injected particles during the injection process.…”
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Estimation of extreme temperatures in direct solar methane pyrolysis within a porous medium by Hengrui Xu, Mostafa Abuseada, Y. Sungtaek Ju, R. Mitchell Spearrin, Timothy S. Fisher

“…By solving a two-dimensional heat transfer problem and applying an inverse optimization algorithm, we estimate the quasi-steady state spatial temperature distribution in a fibrous porous carbon substrate. …”
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Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller by Ning Ding, Priti Prabhakar, Anita Khosla, Vishal Jagota, Edwin Ramirez-Asis, Bhupesh Kumar Singh

“…To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. …”
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Conformal duality of the nonlinear Schrödinger equation: Theory and applications to parameter estimation by David B. Reinhardt, Dean Lee, Wolfgang P. Schleich, Matthias Meister

“…Further, we show that the conformal symmetry is a valuable resource to substantially improve NLSE parameter estimation from noisy empirical data by introducing an optimization afterburner. The new method therefore has far reaching practical applications for nonlinear physical systems.…”
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Dynamic Characteristics of Air Cycle Machine Rotor System by Dongjiang Han, Long Hao, Jinfu Yang

“…Parameters optimization in the critical speed region has the important influence on operational stability of an air cycle machine. …”
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Intuitionistic fuzzy variational inequalities and their applications by Tareq Saeed

“…Then, we discuss some applications of intuitionistic fuzzy convex mappings in fuzzy optimization. Additionally, some variational inequalities, known as intuitionistic fuzzy variational inequality and intuitionistic fuzzy variational mixed inequalities, are introduced. …”
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TEACHERS’ SALARIES, GRANTS, SCIENTIFIC PROTECTIONISM: POSTNONCLASSICAL APPROACH by S. G. GORIN

“…Using the elements of postnonclassical methodology (within the framework of synergetic approach) and the idea of «distorted forms» of social reality the article analyzes some of the problems of university teachers remuneration and grant support and the search of financial sources in the circumstances of budget cuts and «optimization» of university functioning. Attention is drawn to differential nature and difficulties in implementing the «May edicts» of the President of the Russian Federation, including those concerning salary increase for university teachers so that it matches the average salary in each region. …”
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Development of a Five-Degree-of-Freedom Seated Human Model and Parametric Studies for Its Vibrational Characteristics by Jong-Jin Bae, Namcheol Kang

“…Five-degree-of-freedom nonlinear equations of motion for a human model were derived, and human parameters such as spring constants and damping coefficients were extracted using a three-step optimization processes that applied the experimental data to the mathematical human model. …”
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THE MECHANISM OF CURRENCY REGULATION IN MODERN CONDITIONS: THEORETICAL ASPECT by K. G. Bunevich, T. A. Gorbacheva

“…One of the important factors for improving the economic situation in the Russian Federation is the optimization of the mechanism of currency regulation. …”
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A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network by Anis M’hala

“…This leads to many problems in the decision and optimization of the railway transport systems. In this context, we propose a new fuzzy stochastic Petri nets for monitoring (SFPNM). …”
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Fuzzy decision support system for english language teaching with corpus data by Meilin Huang

“…Corpus data from the past and novice observations are useful in improving the adeptness of English language teaching in high schools. Optimization methods support this adeptness through fine-tuning processes acquired from the corpus data. …”
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Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

“…With view on the context of convex thermomechanics, we propose tools based on the concept of Bregman divergence, a notion introduced in the 1960s and used in learning and optimization as well. This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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Paging and Location Management in IEEE 802.16j Multihop Relay Network by Kuan-Po Lin, Hung-Yu Wei

“…A new random walk mobility model that is suitable for modeling in multihop relay network is created. Optimization of location update timer is also investigated.…”
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Simulating Chemistry with Fermionic Optical Superlattices by Fotios Gkritsis, Daniel Dux, Jin Zhang, Naman Jain, Christian Gogolin, Philipp M. Preiss

“…We show that quantum-number-preserving ansatzes for variational optimization in quantum chemistry find an elegant mapping to ultracold fermions in optical superlattices. …”
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System by Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou

“…First of all, use the particle swarm optimization algorithm based on Levenberg–Marquardt (LM) to optimize parameters in the FWNN controller. …”
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