Bibliografie tematiche / Zero-Order optimization

Letteratura scientifica selezionata sul tema "Zero-Order optimization"

Autore: Grafiati

Pubblicato: 1 giugno 2024

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Articoli di riviste sul tema "Zero-Order optimization":

Kolosnitsyn, Anton, Oleg Khamisov, Eugene Semenkin e Vladimir Nelyub. "Application of the Parabola Method in Nonconvex Optimization". Algorithms 17, n. 3 (1 marzo 2024): 107. http://dx.doi.org/10.3390/a17030107.

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We consider the Golden Section and Parabola Methods for solving univariate optimization problems. For multivariate problems, we use these methods as line search procedures in combination with well-known zero-order methods such as the coordinate descent method, the Hooke and Jeeves method, and the Rosenbrock method. A comprehensive numerical comparison of the obtained versions of zero-order methods is given in the present work. The set of test problems includes nonconvex functions with a large number of local and global optimum points. Zero-order methods combined with the Parabola method demonstrate high performance and quite frequently find the global optimum even for large problems (up to 100 variables).

Lazari, Alexandru. "Optimization of Zero-Order Markov Processes with Final Sequence of States". Universal Journal of Applied Mathematics 1, n. 3 (novembre 2013): 198–206. http://dx.doi.org/10.13189/ujam.2013.010307.

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Jiang, Peng Yu, Zhu Ming Lin, Jin Xu e Jian Qun Sun. "A Particle Swarm Optimization Algorithm for Minimizing Weight of the Composite Box Structure". Advanced Materials Research 430-432 (gennaio 2012): 470–75. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.470.

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The particle swarm optimization was applied to the optimum design of the composite box structure.The total weight of the structure was taken as the objective function.A technique of applying PSO integrated with general finite element code was developed for the optimization.Optimization was also conducted using zero-order method included in ANSYS and a comparison was made between zero-order method and PSO.Results demonstrate that PSO can find the global optimal design with higher efficiency regardless of the initial designs.for zero-order method the optimum solution is worst than the result of the PSO optimum.

Poveda, Jorge I., e Na Li. "Robust hybrid zero-order optimization algorithms with acceleration via averaging in time". Automatica 123 (gennaio 2021): 109361. http://dx.doi.org/10.1016/j.automatica.2020.109361.

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Kannan, B. K., e S. N. Kramer. "An Augmented Lagrange Multiplier Based Method for Mixed Integer Discrete Continuous Optimization and Its Applications to Mechanical Design". Journal of Mechanical Design 116, n. 2 (1 giugno 1994): 405–11. http://dx.doi.org/10.1115/1.2919393.

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An algorithm for solving nonlinear optimization problems involving discrete, integer, zero-one, and continuous variables is presented. The augmented Lagrange multiplier method combined with Powell’s method and Fletcher and Reeves Conjugate Gradient method are used to solve the optimization problem where penalties are imposed on the constraints for integer/discrete violations. The use of zero-one variables as a tool for conceptual design optimization is also described with an example. Several case studies have been presented to illustrate the practical use of this algorithm. The results obtained are compared with those obtained by the Branch and Bound algorithm. Also, a comparison is made between the use of Powell’s method (zeroth order) and the Conjugate Gradient method (first order) in the solution of these mixed variable optimization problems.

Jha, Ishan, e Krishna K. Pathak. "Fuzzy-based integrated zero-order shape optimization of steel–concrete–steel sandwich beams". Current Science 121, n. 7 (10 ottobre 2021): 941. http://dx.doi.org/10.18520/cs/v121/i7/941-949.

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Duchi, John C., Michael I. Jordan, Martin J. Wainwright e Andre Wibisono. "Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations". IEEE Transactions on Information Theory 61, n. 5 (maggio 2015): 2788–806. http://dx.doi.org/10.1109/tit.2015.2409256.

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JIN, Xinghua, Yunhui ZHANG, Li XIAO e Zhenyu ZHAO. "Optimization of Extended Zero-order Release Gliclazide Tablets Using D-optimal Mixture Design". YAKUGAKU ZASSHI 128, n. 10 (1 ottobre 2008): 1475–83. http://dx.doi.org/10.1248/yakushi.128.1475.

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Maione, G., R. Caponetto e A. Pisano. "Optimization of zero–pole interlacing for indirect discrete approximations of noninteger order operators". Computers & Mathematics with Applications 66, n. 5 (settembre 2013): 746–54. http://dx.doi.org/10.1016/j.camwa.2013.01.007.

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Parimi, Ravi, Rama Rao Vadapalli e K. E. Pravallika. "Development and Optimization of Wax Matrix Tablets of Levetiracetam for Zero-order Controlled Release". International Journal of Pharmaceutical Sciences and Drug Research 13, n. 03 (3 marzo 2020): 246–52. http://dx.doi.org/10.25004/ijpsdr.2021.130302.

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Abstract (sommario):

The major objective of this work was to develop once-daily, extended-release tablets with zero-order drug release for levetiracetam using the wax matrix as the release retarding element. Extending drug release for highly water-soluble drugs is always a challenge. In this work, levetiracetam, a highly soluble drug, was chosen for which extended-release matrix tablets were developed using different waxes such as Compritol ATO 888, Imwitor 491, tristearin, and cetylpalmitateas rate controlling materials taken in different amounts. PEG 6000 was used to regulate water availability inside the wax matrix, and lactose was used as a pore-forming agent to aid the release of the drug from the wax matrix. Tablets were prepared by embedding the drug into the molten wax, followed by solidification, sieving, mixing with other excipients, and finally compression. The prepared tablets were tested for hardness, tensile strength, friability, drug content, and drug release studies. Type of wax, amount of wax, and PEG 6000 were optimized to achieve controlled drug release for about 24 hours. All the tablets showed good tensile strength in the range of 0.59–0.70 N/mm2, packing fraction in the range of 0.85–0.92, and friability in the range of 0.42–55%, indicating their solid physical integrity. The drug release studies indicated that the tablets prepared with tristearin showed better control among the waxes taken. The tablets containing 150mg of tristearin, 50mg of PEG 6000, and 50 mg of lactose showed controlled drug release for 24 hours with the zero-order release.

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Tesi sul tema "Zero-Order optimization":

Akhavanfoomani, Aria. "Derivative-free stochastic optimization, online learning and fairness". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG001.

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Dans cette thèse, nous étudions d'abord le problème de l'optimisation d'ordre zéro dans le cadre actif pour des fonctions lisses et trois classes différentes de fonctions : i) les fonctions qui satisfont la condition de Polyak-Łojasiewicz, ii) les fonctions fortement convexes, et iii) la classe plus large des fonctions non convexes fortement lisses.De plus, nous proposons un nouvel algorithme basé sur la randomisation de type l1, et nous étudions ses propriétés pour les fonctions convexes Lipschitz dans un cadre d'optimisation en ligne. Notre analyse est due à la dérivation d'une nouvelle inégalité de type Poincar'e pour la mesure uniforme sur la sphère l1 avec des constantes explicites.Ensuite, nous étudions le problème d'optimisation d'ordre zéro dans les schémas passifs. Nous proposons une nouvelle méthode pour estimer le minimiseur et la valeur minimale d'une fonction de régression lisse et fortement convexe f. Nous dérivons des limites supérieures pour cet algorithme et prouvons des limites inférieures minimax pour un tel cadre.Enfin, nous étudions le problème du bandit contextuel linéaire sous contraintes d'équité où un agent doit sélectionner un candidat dans un pool, et où chaque candidat appartient à un groupe sensible. Nous proposons une nouvelle notion d'équité qui est pratique dans l'exemple susmentionné. Nous concevons une politique avide qui calcule une estimation du rang relatif de chaque candidat en utilisant la fonction de distribution cumulative empirique, et nous prouvons sa propriété optimale
In this thesis, we first study the problem of zero-order optimization in the active setting for smooth and three different classes of functions: i) the functions that satisfy the Polyak-Łojasiewicz condition, ii) strongly convex functions, and iii) the larger class of highly smooth non-convex functions.Furthermore, we propose a novel algorithm that is based on l1-type randomization, and we study its properties for Lipschitz convex functions in an online optimization setting. Our analysis is due to deriving a new Poincar'e type inequality for the uniform measure on the l1-sphere with explicit constants.Then, we study the zero-order optimization problem in the passive schemes. We propose a new method for estimating the minimizer and the minimum value of a smooth and strongly convex regression function f. We derive upper bounds for this algorithm and prove minimax lower bounds for such a setting.In the end, we study the linear contextual bandit problem under fairness constraints where an agent has to select one candidate from a pool, and each candidate belongs to a sensitive group. We propose a novel notion of fairness which is practical in the aforementioned example. We design a greedy policy that computes an estimate of the relative rank of each candidate using the empirical cumulative distribution function, and we proved its optimal property

Sanja, Lončar. "Negative Selection - An Absolute Measure of Arbitrary Algorithmic Order Execution". Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104861&source=NDLTD&language=en.

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Algorithmic trading is an automated process of order execution on electronic stock markets. It can be applied to a broad range of financial instruments, and it is characterized by a signicant investors' control over the execution of his/her orders, with the principal goal of finding the right balance between costs and risk of not (fully) executing an order. As the measurement of execution performance gives information whether best execution is achieved, a signicant number of diffeerent benchmarks is used in practice. The most frequently used are price benchmarks, where some of them are determined before trading (Pre-trade benchmarks), some during the trading day (In-traday benchmarks), and some are determined after the trade (Post-trade benchmarks). The two most dominant are VWAP and Arrival Price, which is along with other pre-trade price benchmarks known as the Implementation Shortfall (IS).We introduce Negative Selection as a posteriori measure of the execution algorithm performance. It is based on the concept of Optimal Placement, which represents the ideal order that could be executed in a given time win-dow, where the notion of ideal means that it is an order with the best execution price considering market conditions during the time window. Negative Selection is dened as a difference between vectors of optimal and executed orders, with vectors dened as a quantity of shares at specied price positionsin the order book. It is equal to zero when the order is optimally executed; negative if the order is not (completely) filled, and positive if the order is executed but at an unfavorable price.Negative Selection is based on the idea to offer a new, alternative performance measure, which will enable us to find the optimal trajectories and construct optimal execution of an order.The first chapter of the thesis includes a list of notation and an overview of denitions and theorems that will be used further in the thesis. Chapters 2 and 3 follow with a theoretical overview of concepts related to market microstructure, basic information regarding benchmarks, and theoretical background of algorithmic trading. Original results are presented in chapters 4 and 5. Chapter 4 includes a construction of optimal placement, definition and properties of Negative Selection. The results regarding the properties of a Negative Selection are given in [35]. Chapter 5 contains the theoretical background for stochastic optimization, a model of the optimal execution formulated as a stochastic optimization problem with regard to Negative Selection, as well as original work on nonmonotone line search method [31], while numerical results are in the last, 6th chapter.
Algoritamsko trgovanje je automatizovani proces izvršavanja naloga na elektronskim berzama. Može se primeniti na širok spektar nansijskih instrumenata kojima se trguje na berzi i karakteriše ga značajna kontrola investitora nad izvršavanjem njegovih naloga, pri čemu se teži nalaženju pravog balansa izmedu troška i rizika u vezi sa izvršenjem naloga. S ozirom da se merenjem performasi izvršenja naloga određuje da li je postignuto najbolje izvršenje, u praksi postoji značajan broj različitih pokazatelja. Najčešće su to pokazatelji cena, neki od njih se određuju pre trgovanja (eng. Pre-trade), neki u toku trgovanja (eng. Intraday), a neki nakon trgovanja (eng. Post-trade). Dva najdominantnija pokazatelja cena su VWAP i Arrival Price koji je zajedno sa ostalim "pre-trade" pokazateljima cena poznat kao Implementation shortfall (IS).Pojam negative selekcije se uvodi kao "post-trade" mera performansi algoritama izvršenja, polazeći od pojma optimalnog naloga, koji predstavlja idealni nalog koji se mogao izvrsiti u datom vremenskom intervalu, pri ćemu se pod pojmom "idealni" podrazumeva nalog kojim se postiže najbolja cena u tržišnim uslovima koji su vladali u toku tog vremenskog intervala. Negativna selekcija se definiše kao razlika vektora optimalnog i izvršenog naloga, pri čemu su vektori naloga defisani kao količine akcija na odgovarajućim pozicijama cena knjige naloga. Ona je jednaka nuli kada je nalog optimalno izvršen; negativna, ako nalog nije (u potpunosti) izvršen, a pozitivna ako je nalog izvršen, ali po nepovoljnoj ceni.Uvođenje mere negativne selekcije zasnovano je na ideji da se ponudi nova, alternativna, mera performansi i da se u odnosu na nju nađe optimalna trajektorija i konstruiše optimalno izvršenje naloga.U prvom poglavlju teze dati su lista notacija kao i pregled definicija i teorema neophodnih za izlaganje materije. Poglavlja 2 i 3 bave se teorijskim pregledom pojmova i literature u vezi sa mikrostrukturom tržišta, pokazateljima trgovanja i algoritamskim trgovanjem. Originalni rezultati su predstavljeni u 4. i 5. poglavlju. Poglavlje 4 sadrži konstrukciju optimalnog naloga, definiciju i osobine negativne selekcije. Teorijski i praktični rezultati u vezi sa osobinama negativna selekcije dati su u [35]. Poglavlje 5 sadrži teorijske osnove stohastičke optimizacije, definiciju modela za optimalno izvršenje, kao i originalni rad u vezi sa metodom nemonotonog linijskog pretraživanja [31], dok 6. poglavlje sadrži empirijske rezultate.

Ali, Ghoddosian. "Improved zero order techniques for structural shape optimization using F.E.M". Thesis, 1998. http://localhost:8080/xmlui/handle/12345678/2949.

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Capitoli di libri sul tema "Zero-Order optimization":

Lobanov, Aleksandr, e Alexander Gasnikov. "Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem Under “Overparametrization” Condition". In Optimization and Applications, 72–83. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47859-8_6.

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Teunissen, P. "Zero Order Design: Generalized Inverses, Adjustment, the Datum Problem and S-Transformations". In Optimization and Design of Geodetic Networks, 11–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70659-2_3.

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Lobanov, Aleksandr, Anton Anikin, Alexander Gasnikov, Alexander Gornov e Sergey Chukanov. "Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization". In Communications in Computer and Information Science, 92–106. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43257-6_8.

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Panteleev, A. V., e A. V. Lobanov. "Application of the Zero-Order Mini-Batch Optimization Method in the Tracking Control Problem". In SMART Automatics and Energy, 573–81. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8759-4_59.

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Schöneburg, Rodolfo, e Karl-Heinz Baumann. "What the Car Industry Can Do: Mercedes-Benz’ View". In The Vision Zero Handbook, 727–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76505-7_29.

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AbstractThe car industry faces some extreme challenges. Alongside the key task that we face of making individual transport climate-neutral, and alongside the new technological opportunities for communication and networking across our whole environment, it is clear that the user behavior of vehicle drivers and of all other road users is also going to change. Bearing all these aspects in mind, our overriding goal remains to make the traffic on our roads safer. Many of the activities in this context are summarized in the Mercedes-Benz “Vision of accident-free driving.” The current plateauing of road fatality statistics across the countries of the West is a clear signal that we need to intensify our efforts even further. And indeed, there are still plenty of levers that can be applied in order to optimize and improve these figures.Following a review of the current situation from the perspective of Mercedes-Benz, the opportunities for further optimization of vehicle safety are now presented in the guise of the latest Experimental Safety Vehicle, ESF 2019, which above all addresses the new possibilities offered by increasing connectivity and automation. Many of the innovative concepts under consideration have a chance of reaching the market in future vehicles, either as they are or in a modified form; in other cases the discussion around them will lead to new ideas and proposed solutions.The Integral Safety Strategy by Mercedes-Benz is a holistic approach that defines safety in four phases: (1) safe driving, (2) assisting in a critical driving situation with accident prevention systems and anticipatory protection elements such as PRE-SAFE® systems, (3) during a crash, for example, occupant and partner protection, and, finally, (4) after a crash, deploy systems for the rescue phase. All four phases must be high priorities during the development of the vehicle.Even with an optimistic view of the vehicle-based opportunities, this chapter will demonstrate that vehicle measures alone will not be sufficient to solve all traffic safety issues, as road transportation is just too complex. All the factors that impact road safety, and which will need to play their part in delivering “Vision Zero,” must be addressed; in other words, infrastructural measures and people in traffic, too. As with the Mercedes-Benz strategy of Integral Safety, we shall only be able to make major advances toward “Vision Zero” if all influencing factors are properly investigated as part of an integrated examination of road safety.

Schöneburg, Rodolfo, e Karl-Heinz Baumann. "What the Car Industry Can Do, Mercedes-Benz’ View". In The Vision Zero Handbook, 1–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_29-1.

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AbstractThe car industry faces some extreme challenges. Alongside the key task that we face of making individual transport climate-neutral, and alongside the new technological opportunities for communication and networking across our whole environment, it is clear that the user behavior of vehicle drivers and of all other road users is also going to change. Bearing all these aspects in mind, our overriding goal remains to make the traffic on our roads safer. Many of the activities in this context are summarized in the Mercedes-Benz “Vision of accident-free driving.” The current plateauing of road fatality statistics across the countries of the West is a clear signal that we need to intensify our efforts even further. And indeed, there are still plenty of levers that can be applied in order to optimize and improve these figures.Following a review of the current situation from the perspective of Mercedes-Benz, the opportunities for further optimization of vehicle safety are now presented in the guise of the latest Experimental Safety Vehicle, ESF 2019, which above all addresses the new possibilities offered by increasing connectivity and automation. Many of the innovative concepts under consideration have a chance of reaching the market in future vehicles, either as they are or in a modified form; in other cases the discussion around them will lead to new ideas and proposed solutions.The Integral Safety Strategy by Mercedes-Benz is a holistic approach that defines safety in four phases: (1) safe driving, (2) assisting in a critical driving situation with accident prevention systems and anticipatory protection elements such as PRE-SAFE® systems, (3) during a crash, for example, occupant and partner protection, and, finally, (4) after a crash, deploy systems for the rescue phase. All four phases must be high priorities during the development of the vehicle.Even with an optimistic view of the vehicle-based opportunities, this article will demonstrate that vehicle measures alone will not be sufficient to solve all traffic safety issues, as road transportation is just too complex. All the factors that impact road safety, and which will need to play their part in delivering “Vision Zero,” must be addressed; in other words, infrastructural measures and people in traffic, too. As with the Mercedes-Benz strategy of Integral Safety, we shall only be able to make major advances toward “Vision Zero” if all influencing factors are properly investigated as part of an integrated examination of road safety.

"Zero-Order Optimization Techniques". In Machine Learning Refined, 21–44. Cambridge University Press, 2020. http://dx.doi.org/10.1017/9781108690935.005.

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Neittaanmäki, P., M. Rudnicki e A. Savini. "Unconstrained optimization". In Inverse Problems and Optimal Design in Electricity and Magnetism, 88–136. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198593836.003.0006.

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Abstract As can be seen, the higher-order derivatives of a quadratic function are all zero. From a Taylor expansion (the first three terms are always exact) it follows that all functions with continuous second derivatives behave much the same as quadratic functions provided the region is small enough. This fact is essential for many optimization algorithms which minimize a quadratic function in a finite number of steps.

Bourouba, Bachir. "Stabilization of a Class of Fractional-Order Chaotic Systems via Direct Adaptive Fuzzy Optimal Sliding Mode Control". In Advanced Synchronization Control and Bifurcation of Chaotic Fractional-Order Systems, 289–304. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5418-9.ch010.

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In this chapter a new direct adaptive fuzzy optimal sliding mode control approach is proposed for the stabilization of fractional chaotic systems with different initial conditions of the state under the presence of uncertainties and external disturbances. Using Lyapunov analysis, the direct adaptive fuzzy optimal sliding mode control approach illustrates asymptotic convergence of error to zero as well as good robustness against external disturbances and uncertainties. The authors present a method for optimum tuning of sliding mode control system parameter using particle swarm optimization (PSO) algorithm. PSO is a robust stochastic optimization technique based on the movement and intelligence of swarm, applying the concept of social interaction to problem solving. Simulation examples for the control of nonlinear fractional-order systems are given to illustrate the effectiveness of the proposed fractional adaptive fuzzy control strategy.

Gautam, Usha, e Tarun Kumar Rawat. "Analysis of Wideband Second-Order Microwave Integrators". In Innovations in Ultra-Wideband Technologies. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94843.

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This chapter presents the implementation of stable, accurate, and wideband second-order microwave integrators (SOMIs). These SOMI designs are obtained by the use of various cascading combinations of transmission line sections and shunt stubs. In order to obtain the optimal values of the characteristic impedances of these line elements, the particle swarm optimization (PSO), cuckoo search algorithm (CSA) and gravitational search algorithm (GSA) are used to approximate the magnitude response of the ideal second-order integrator (SOI). Based on magnitude response, absolute magnitude error, phase response, convergence rate, pole-zero plot, and improvement graph, the performance measure criteria for the proposed SOMIs are performed. The results of the simulation and statistical analysis reveal that GSA exceeds the PSO and CSA in order to approximate the ideal SOI in all state-of-the-art eligible for wide-band microwave integrator. The designed SOMI is compact and suitable for applications covering ultra-wideband (UWB). The designed SOMI structure is also simulated on Advanced Design Software (ADS) in the form of a microstrip line on a dielectric constant 2.2 RT/Duroid substrate with a height of 0.762 mm. In the 3–15 GHz frequency range, the simulated magnitude result agrees well with the ideal one.

Atti di convegni sul tema "Zero-Order optimization":

Baumgartner, Katrin, e Moritz Diehl. "Zero-Order Optimization-Based Iterative Learning Control". In 2020 59th IEEE Conference on Decision and Control (CDC). IEEE, 2020. http://dx.doi.org/10.1109/cdc42340.2020.9303854.

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Tang, Yujie, e Na Li. "Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization". In 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2019. http://dx.doi.org/10.1109/allerton.2019.8919690.

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Mohr, Charles A., Jonathan W. Owen, Shannon D. Blunt e Christopher T. Allen. "Zero-Order Reconstruction Optimization of Waveforms (ZOROW) for Modest DAC Rates". In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114615.

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Lee, Madison, Shubhanshu Shekhar e Tara Javidi. "Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS". In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834683.

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Zhang, Dawei, Yuanshen Huang, Zhengji Ni, Jiabi Chen, Songlin Zhuang e Hongbo He. "The optimization of zero-order diffractive filters for security imaging applications". In Sixth International Conference on Thin Film Physics and Applications. SPIE, 2008. http://dx.doi.org/10.1117/12.792249.

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Baumgärtner, Katrin, e Moritz Diehl. "Local Convergence Analysis of Damping for Zero-Order Optimization-Based Iterative Learning Control". In 2023 European Control Conference (ECC). IEEE, 2023. http://dx.doi.org/10.23919/ecc57647.2023.10178225.

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Li, Yanming, Mengyao Liu e Lufang Zhang. "A Novel 16-bit ADC Based on Third-order Σ-∆ Modulator with Zero Optimization". In 2023 IEEE 15th International Conference on ASIC (ASICON). IEEE, 2023. http://dx.doi.org/10.1109/asicon58565.2023.10396379.

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Gao, Yunfan, Florian Messerer, Jonathan Frey, Niels van Duijkeren e Moritz Diehl. "Collision-free Motion Planning for Mobile Robots by Zero-order Robust Optimization-based MPC". In 2023 European Control Conference (ECC). IEEE, 2023. http://dx.doi.org/10.23919/ecc57647.2023.10178311.

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Zhang, Guowei, Xiaodong Yin e Kehan Tian. "Improvements of diffractive optical element uniformity and zero order performance using lithographic process parameter optimization method". In Holography, Diffractive Optics, and Applications IX, a cura di Changhe Zhou, Yunlong Sheng e Liangcai Cao. SPIE, 2019. http://dx.doi.org/10.1117/12.2535466.

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Faraci, Alessio, Pierre Beaurepaire e Nicolas Gayton. "AN UNIFIED ENRICHMENT STRATEGY FOR RELIABILITY-BASED DESIGN OPTIMIZATION USING ADAPTIVE KRIGING AND ZERO-ORDER ALGORITHMS". In 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research National Technical University of Athens, 2023. http://dx.doi.org/10.7712/120223.10351.19782.

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