Relevant bibliographies by topics / Multiple criteria optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multiple criteria optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Multiple criteria optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Multiple criteria optimization"

1

Deming, Stanley N. "Multiple-criteria optimization." Journal of Chromatography A 550 (January 1991): 15–25. http://dx.doi.org/10.1016/s0021-9673(01)88527-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kostreva, Michael M., and Wodzimierz Ogryczak. "Linear optimization with multiple equitable criteria." RAIRO - Operations Research 33, no. 3 (July 1999): 275–97. http://dx.doi.org/10.1051/ro:1999112.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Thoai, Nguyen V. "Criteria and dimension reduction of linear multiple criteria optimization problems." Journal of Global Optimization 52, no. 3 (August 14, 2011): 499–508. http://dx.doi.org/10.1007/s10898-011-9764-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Żak, Jacek, Maciej Hojda, and Grzegorz Filcek. "Multiple Criteria Optimization of the Carpooling Problem." Transportation Research Procedia 37 (2019): 139–46. http://dx.doi.org/10.1016/j.trpro.2018.12.176.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

CEREN, TUNCER ŞAKAR, and MURAT KÖKSALAN. "EFFECTS OF MULTIPLE CRITERIA ON PORTFOLIO OPTIMIZATION." International Journal of Information Technology & Decision Making 13, no. 01 (January 2014): 77–99. http://dx.doi.org/10.1142/s0219622014500047.

Full text
Abstract:
We study the effects of considering different criteria simultaneously on portfolio optimization. Using a single-period optimization setting, we use various combinations of expected return, variance, liquidity and Conditional Value at Risk criteria. With stocks from Borsa Istanbul, we make computational studies to show the effects of these criteria on objective and decision spaces. We also consider cardinality and weight constraints and study their effects on the results. In general, we observe that considering alternative criteria results in enlarged regions in the efficient frontier that may be of interest to the decision maker. We discuss the results of our experiments and provide insights.
APA, Harvard, Vancouver, ISO, and other styles
6

Donaghue, J. "MO-D-BRC-04: Multiple-Criteria Optimization Planning." Medical Physics 43, no. 6Part29 (June 2016): 3697. http://dx.doi.org/10.1118/1.4957203.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Matsuyama, Y. "Harmonic competition: a self-organizing multiple criteria optimization." IEEE Transactions on Neural Networks 7, no. 3 (May 1996): 652–68. http://dx.doi.org/10.1109/72.501723.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zak, Jacek. "Multiple criteria evaluation and optimization of transportation systems." Journal of Advanced Transportation 43, no. 2 (April 2009): 91–94. http://dx.doi.org/10.1002/atr.5670430202.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zak, Jacek. "Multiple criteria evaluation and optimization of transportation systems." Journal of Advanced Transportation 43, no. 4 (October 2009): 367–70. http://dx.doi.org/10.1002/atr.5670430406.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Şakar, Ceren Tuncer, and Murat Köksalan. "Erratum: "Effects of multiple criteria on portfolio optimization"." International Journal of Information Technology & Decision Making 13, no. 02 (March 2014): 445. http://dx.doi.org/10.1142/s0219622014920011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Multiple criteria optimization"

1

Castro, Carlos. "Multiple criteria optimization in injection molding." Connect to this title online, 2004. http://hdl.handle.net/1811/322.

Full text
Abstract:
Thesis (Honors)--Ohio State University, 2004.
Title from first page of PDF file. Document formattted into pages: contains vi, 49 p.; also includes graphics. Includes bibliographical references (p. 46). Available online via Ohio State University's Knowledge Bank.
APA, Harvard, Vancouver, ISO, and other styles
2

Singh, Vijay K. "Equitable efficiency in multiple criteria optimization." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181669435/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Pissarides, Savvas. "Interactive multiple criteria optimization for capital budgeting." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7723.

Full text
Abstract:
This thesis presents a capital budgeting problem faced by a major telecommunications company. The purpose of this thesis is to address the capital budgeting problem in order to establish a framework for the measurement and evaluation of alternative capital allocation decisions which are compatible with the mission of the company. The solution method follows three major avenues of optimization: multiple criteria, multiple constraints and interactivity. The problem is solved using the Analytic Hierarchy Process to obtain an initial solution which is then improved by an interactive method allowing users to direct the search for an acceptable allocation. The method is implemented by a decision support system hinging on a graphic user interface. The support system has been used by practitioners to evaluate alternatives of a real problem. Results and enhancements are discussed.
APA, Harvard, Vancouver, ISO, and other styles
4

Soylu, Banu. "An Evolutionary Algorithm For Multiple Criteria Problems." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608134/index.pdf.

Full text
Abstract:
In this thesis, we develop an evolutionary algorithm for approximating the Pareto frontier of multi-objective continuous and combinatorial optimization problems. The algorithm tries to evolve the population of solutions towards the Pareto frontier and distribute it over the frontier in order to maintain a well-spread representation. The fitness score of each solution is computed with a Tchebycheff distance function and non-dominating sorting approach. Each solution chooses its own favorable weights according to the Tchebycheff distance function. Some seed solutions at initial population and a crowding measure also help to achieve satisfactory results. In order to test the performance of our evolutionary algorithm, we use some continuous and combinatorial problems. The continuous test problems taken from the literature have special difficulties that an evolutionary algorithm has to deal with. Experimental results of our algorithm on these problems are provided. One of the combinatorial problems we address is the multi-objective knapsack problem. We carry out experiments on test data for this problem given in the literature. We work on two bi-criteria p-hub location problems and propose an evolutionary algorithm to approximate the Pareto frontiers of these problems. We test the performance of our algorithm on Turkish Postal System (PTT) data set (TPDS), AP (Australian Post) and CAB (US Civil Aeronautics Board) data sets. The main contribution of this thesis is in the field of developing a multi-objective evolutionary algorithm and applying it to a number of multi-objective continuous and combinatorial optimization problems.
APA, Harvard, Vancouver, ISO, and other styles
5

Filatovas, Ernestas. "Solving Multiple Criteria Optimization Problems in an Interactive Way." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120402_093953-80981.

Full text
Abstract:
In practice, optimization problems are often multiple criteria. The criteria are usually contradictory, so the final decision depends on a decision maker. When the problem is solved interactively, the decision maker can change his/her preferences in decision process. Moreover, it is important to obtain solutions from the whole Pareto front. A decision support system adapted to the specific of the problem is essential for solving multiple criteria optimization problems interactively. The objects of research are multiple criteria optimization problems, interactive methods for solving these problems, interactive decision support systems, and application of parallel computing in decision support systems. Multiple criteria optimization methods are analyzed in the dissertation. The focus of attention is the methods for a uniform distribution of solutions on the Pareto front as well as the interactive methods. An interactive way for solving multicriteria optimization problems, which finds alternative solutions uniformly distributed on the Pareto front is proposed and investigated in this dissertation. An interactive decision support system which integrates the created interactive solving way, the decision process visualization and parallelization for multiple criteria optimization is developed. The solving strategies, when a multiple criteria optimization problem is solved interactively, using a computer cluster are developed and compared experimentally. The time required for a... [to full text]
Praktikoje dažnai tenka spręsti sudėtingus daugiakriterinius optimizavimo uždavinius, kai kriterijai būna prieštaringi, o galutinis apsisprendimas priklauso nuo sprendimų priėmėjo. Kai sprendimų priėmėjas dalyvauja sprendimo procese interaktyviai, tai jis gali koreguoti prioritetus ir siekiamus tikslus uždavinio sprendimo eigoje, kas įgalina spęsti uždavinius, turinčius daug kriterijų ir apribojimų. Be to, sprendimo priėmėjui svarbu gauti sprendinius iš visos Pareto aibės. Interaktyviam uždavinių sprendimui būtina sprendimų paramos sistema, kurios grafinė sąsaja yra pritaikyta sprendžiamam uždaviniui. Šio darbo tyrimų sritis yra interaktyvus daugiakriterinių optimizavimo uždavinių sprendimas bei sprendimų paramos sistemos. Disertacijoje nagrinėjant daugiakriterinio optimizavimo metodus, didesnis dėmesys skirtas metodams, užtikrinantiems gaunamų sprendinių tolygų pasiskirstymą Pareto aibėje bei interaktyviems metodams. Pasiūlytas ir ištirtas daugiakriterinių optimizavimo uždavinių sprendimo būdas, leidžiantis spręsti daugiakriterinius optimizavimo uždavinius interaktyviai ir užtikrinantis gaunamų sprendinių tolygų pasiskirstymą Pareto aibėje. Sukurta ir ištirta interaktyvi daugiakriterinių optimizavimo uždavinių sprendimų paramos sistemą, apjungianti pasiūlytą optimizavimo uždavinių sprendimo būdą, sprendimo proceso vizualizavimą ir jo lygiagretinimą. Taip pat pasiūlyta sprendimo strategija, pagal kurią sprendžiant daugiakriterinį optimizavimo uždavinį pasitelkiamas... [toliau žr. visą tekstą]
APA, Harvard, Vancouver, ISO, and other styles
6

Cabrera, Rios Mauricio. "MULTIPLE CRITERIA OPTIMIZATION STUDIES IN REACTIVE IN-MOLD COATING." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1022105843.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Villanueva, Jaquez Delia. "Multiple objective optimization of performance based logistics." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Villarreal-Marroquin, Maria G. "A Metamodel based Multiple Criteria Optimization via Simulation Method for Polymer Processing." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1356518813.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Nenėnaitė, Rita. "Tarpinių sprendinių panaudojimo tyrimas daugiakriterinių uždavinių sprendimui kompiuterių tinkle." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2004. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2004~D_20040611_155428-81819.

Full text
Abstract:
The study analyses various methods to solve multiple criteria optimization problems of different kinds and defines principles of parallel computing. A multiple criteria optimization problem has been solved applying a computer network and a new strategy that analyses and uses intermediate results in the calculation process has been suggested. The optimization problem has been solved applying a computer network and parallel computing software MPI (Message Passage Interface). Numerous experimental trials have been carried out to investigate efficiency of the designed strategy in the solution of multiple criteria optimization problems. A computer network with different number of computers solved a single problem of different duration and final results of various strategies have been compared. The experiments have proved the designed strategy to be more precise in results and more economical in computing time.
APA, Harvard, Vancouver, ISO, and other styles
10

Bouchery, Yann. "Supply Chain optimization with sustainability criteria : A focus on inventory models." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00784197.

Full text
Abstract:
Sustainability concerns are increasingly shaping customers' behavior as well as companies' strategy. In this context, optimizing the supply chain with sustainability considerations is becoming a critical issue. However, work with quantitative models is still scarce. Our research contributes by revisiting classical inventory models taking sustainability concerns into account. We believe that reducing all aspects of sustainable development to a single objective is not desirable. We thus reformulate single and multi-echelon economic order quantity models as multi-objective problems. These models are then used to study several options such as buyer-supplier coordination or green technology investment. We also consider that firms are becoming increasingly proactive with respect to sustainability. We thus propose to apply multiple criteria decision aid techniques instead of considering sustainability as a constraint. In this sense, the firm may provide preference information about economic, environmental and social tradeoffs and quickly identify a satisfactory solution.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Multiple criteria optimization"

1

Multicriteria optimization. 2nd ed. Berlin: Springer, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Steuer, Ralph E. Multiple criteria optimization: Theory, computation, and application. New York: Wiley, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Multiple criteria optimization: Theory, computation, and application. Malabar, Fla: Krieger, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kaliszewski, Ignacy, Janusz Miroforidis, and Dmitry Podkopaev. Multiple Criteria Decision Making by Multiobjective Optimization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32756-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Miettinen, Kaisa. Nonlinear multiobjective optimization. Boston: Kluwer Academic Publishers, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ringuest, Jeffrey L. Multiobjective optimization: Behavioral and computational considerations. Boston: Kluwer Academic Publishers, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ehrgott, Matthias, and Xavier Gandibleux, eds. Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/b101915.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zak, I︠U︡ A. Prini︠a︡tie mnogokriterialʹnykh resheniĭ: Monografii︠a︡. Moskva: Ėkonomika, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Trzaskalik, Tadeusz. Multiobjective analysis in dynamic environment. Katowice: Karol Adamiecki University of Economics in Katowice, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

A, Coello Coello Carlos, Hernández Aguirre Arturo, and Zitzler Eckart, eds. Evolutionary multi-criterion optimization: Third international conference, EMO 2005, Guanajuanto, Mexico, March 9-11, 2005 : proceedings. Berlin: Springer, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Multiple criteria optimization"

1

Eichfelder, Gabriele, and Johannes Jahn. "Vector and Set Optimization." In Multiple Criteria Decision Analysis, 695–737. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3094-4_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Miettinen, Kaisa, Jussi Hakanen, and Dmitry Podkopaev. "Interactive Nonlinear Multiobjective Optimization Methods." In Multiple Criteria Decision Analysis, 927–76. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3094-4_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ji, Ran, Miguel A. Lejeune, and Srinivas Y. Prasad. "Interactive Portfolio Optimization Using Mean-Gini Criteria." In Multiple Criteria Decision Making, 49–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68876-3_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Serafini, Paolo. "Simulated Annealing for Multi Objective Optimization Problems." In Multiple Criteria Decision Making, 283–92. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Henig, Mordechai I., and John T. Buchanan. "Generalized Tradeoff Directions in Multiobjective Optimization Problems." In Multiple Criteria Decision Making, 47–56. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Salukvadze, M. E., and A. L. Topchishvili. "Weakly-Efficient Solutions of Limiting Multicriteria Optimization Problems." In Multiple Criteria Decision Making, 373–86. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Todorov, Maxim Ivanov. "Well-Posedness in The Linear Vector Semi-Infinite Optimization." In Multiple Criteria Decision Making, 141–50. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Inuiguchi, Masahiro, Kosuke Kato, and Hideki Katagiri. "Fuzzy Multi-Criteria Optimization: Possibilistic and Fuzzy/Stochastic Approaches." In Multiple Criteria Decision Analysis, 851–902. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3094-4_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Seo, Fumiko, and Masatoshi Sakawa. "Approach to Multiple Criteria Optimization." In Multiple Criteria Decision Analysis in Regional Planning, 13–58. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4035-2_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Li, Duan, and Yacov Y. Haimes. "Using Multiobjective Optimization As a Separation Strategy for Nonseparable Problems." In Multiple Criteria Decision Making, 109–17. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Multiple criteria optimization"

1

Jin, Ruichen, Wei Chen, and Timothy Simpson. "Comparative studies of metamodeling techniques under multiple modeling criteria." In 8th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4801.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Boufateh, Ines, Anne Perwuelz, Besoa Rabenasolo, and Anne-Marie Jolly-Desodt. "Multiple Criteria Decision Making for environmental impacts optimization." In Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223757.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wang, Rui, GuangLi Nie, and Yong Shi. "Multiple Criteria Quadratic Programming for Fund Customer Churn Analysis." In 2011 Fourth International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2011. http://dx.doi.org/10.1109/cso.2011.173.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Easwaran, Aneurin M., and Jeremy Pitt. "Simultaneous optimization of multiple criteria for efficient agent service brokering." In the fifth international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375735.375878.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Da, Z. J., J. P. Sadler, and I. S. Jawahir. "Multiple Criteria Optimization of Finish Turning Operations Based on a Hybrid Model." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dac-1480.

Full text
Abstract:
Abstract In this paper a multiple criteria optimization method is used to achieve the optimum selection of cutting conditions and tool inserts for finish turning operations. The utility function which maps criterion vectors into the real line is constructed based on tool-life and material removal rate. This unified objective function serves as an arbiter balancing the values of the individual objective functions. Different formats of utility functions are developed and their physical significance is analyzed. Other major machining performance characteristics such as surface roughness, cutting force, power requirements and chip breakability are used as constraints to define acceptable limits on these criteria, along with the limits on the ranges of the process variables. A hybrid process model which uses combinations of the metal cutting theories and an expandable database of experimental results is used to describe the interrelationships between the machining performance criteria and the process variables. Nonlinear programming techniques coupled with numerical methods for data interpolation are then applied to identify optimum process conditions for a given tool insert. Furthermore, for any specified application a cutting tool can be selected through comparative analyses. A sample case for a typical tool insert was studied and the results are presented.
APA, Harvard, Vancouver, ISO, and other styles
6

Mahammed, Nadir, Sidi Mohamed Benslimane, Ali Ouldkradda, and Mahmoud Fahsi. "Evolutionary Business Process Optimization using a Multiple-Criteria Decision Analysis method." In 2018 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2018. http://dx.doi.org/10.1109/cits.2018.8440166.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Yuan, Zhong-Hua Han, Yu Zhang, and Wen-Ping Song. "Efficient Global Optimization using Multiple Infill Sampling Criteria and Surrogate Models." In 2018 AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0555.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhang, Xiaoli, and Carl A. Nelson. "Multiple-Criteria Kinematic Optimization for the Design of Spherical Serial Mechanisms Using Genetic Algorithms." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28368.

Full text
Abstract:
A new kinematic design methodology is presented for optimization of spherical serial mechanisms. This method integrates multiple criteria (workspace, manipulability, and size) linearly in one objective function. All these criteria are optimized simultaneously to lead to a more realistic solution. By changing the priorities of each criterion, different sets of desirable kinematic performance can be expressed. The global manipulability and the uniformity of manipulability over the workspace are combined in a single index to improve the synthesis results. The optimization result for a spherical bevel-geared mechanism using a genetic algorithm demonstrated that the proposed method effectively improves the quality of the optimum solution and provides insight into the workings of the mechanism. In addition, this flexible and adaptable methodology may also be extended for use in general optimization for linkage synthesis.
APA, Harvard, Vancouver, ISO, and other styles
9

Wang Chao-hui and Wang Jian-giang. "Determination of combined forecasting weights based on multiple effect evaluation criteria optimization." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597748.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Yang, R. J. "Topology Optimization With Multiple Constraints." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0052.

Full text
Abstract:
Abstract Topology optimization is used for determining the best layout of structural components to achieve predetermined performance goals. The density method which uses material density of each finite element as the design variable is employed. Unlike the most common approach which uses the optimality criteria methods, the topology design problem is formulated as a general optimization problem and is solved by the mathematical programming method. One of the major advantages of this approach is its generality; thus it can solve various problems, e.g. multi-objective and multi-constraint problems. In this study, the structural weight is chosen as the objective function and structural responses such as the compliances, displacements, and the natural frequencies are treated as the constraints. The MSC/NASTRAN finite element code is employed for response analyses. One example with four different optimization formulations was used to demonstrate this approach.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Multiple criteria optimization' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography