PL
 |
EN
Preferencje help
Polish version English version Język
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 8

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  multi-objective
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
1
Content available Multi-objective two-stage stochastic optimization model for post-disaster waste management
Boonmee Chawis, Legsakul Komkrit, Arimura Mikiharu
Production Engineering Archives
|
2023
|
Vol. 29, Iss. 1
58--68
EN
Post-disaster waste management is one of the most crucial tasks in the recovery phase of the disaster cycle, and it was created to assist affected communities in returning to a stable state following a disaster. To develop an efficient post-disaster waste management strategy, this study presents a multi-objective two-stage stochastic mixed integer linear programming model for post-disaster waste management. The proposed mathematical model was developed based on a mixed strategy of on-site and off-site waste separation in the supply chain. This study aims to minimize not only the total cost and the environmental impact to provide waste flow decisions and choose collection and separation sites, recycling sites, landfill sites, and incineration sites throughout the supply chain under the uncertain situation. To solve a multi-objective problem, a normalized weighted sum method is used to find the solution. A numerical case based on realistic data is presented to validate and verify the proposed model. Based on the numerical example, the results demonstrated that the implementation of the mixed strategy for waste separation with the consideration of uncertain situations can reduce the total cost, balance the environmental impact, and determine the unexpected situation in the post-disaster waste supply chain efficiently.
2
Content available Multi-operator Differential Evolution with MOEA/D for Solving Multi-objective Optimization Problems
Aggarwal Sakshi, Mishra Krishn K.
Journal of Telecommunications and Information Technology
|
2022
|
nr 3
85--95
EN
In this paper, we propose a multi-operator differentia evolution variant that incorporates three diverse mutation strategies in MOEA/D. Instead of exploiting the local region, the proposed approach continues to search for optimal solutions in the entire objective space. It explicitly maintains diversity of the population by relying on the benefit of clustering. To promowe convergence, the solutions close to the ideal position, in the objective space are given preference in the evolutionary process. The core idea is to ensure diversity of the population by applying multiple mutation schemes and a faster convergence rate, giving preference to solutions based on their proximity to the ideal position in the MOEA/D paradigm. The performance of the proposed algorithm is evaluated by two popular test suites. The experimental results demonstrate that the proposed approach outperforms other MOEA/D algorithms.
3
Content available Multi-objective dynamic economic dispatch using Fruit Fly Optimization method
Arsyad Haripuddin, Suyuti Ansar, Said Sri Mawar, Akil Yusri Syam
Archives of Electrical Engineering
|
2021
|
Vol. 70, nr 2
351--366
EN
An essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure the performance of the method, a simulation was conducted for two different electric systems of the existing Sulselbar 150 kV thermal power plant system in Indonesia with two objective functions, namely fuel costs and active power transmission losses, aswell as the 30-bus IEEE standard system with five objective functions namely fuel costs, transmission losses (active and reactive power), a reactive power reserve margin, and an emission index by considering a power generation limit and ramp rates as the constraints. Under tested cases, the simulation results have shown that the Fruit Fly Optimization method can solve the problems of dynamic economic dispatch better than other existing optimization methods. It is indicated by all values of the objective functions that are lowest for the Fruit Fly Optimization method. Moreover, the obtained computational time is sufficiently fast to get the best solution.
4
Content available remote The overview of optimization methods applied to Truss-Z modular system
Zawidzki Machi
Computer Assisted Methods in Engineering and Science
|
2020
|
Vol. 27, no. 2-3
155--176
EN
Extremely Modular Systems (EMSs) are comprised of as few types of modules as possibleand allow creating structurally sound free-form structures that are not constrained bya regular tessellation of space. Truss-Z is the first EMS introduced, and its purpose isto create free-form pedestrian ramps and ramp networks in any given environment. Thispaper presents an overview of various multi-objective optimization methods applied toTruss-Z structures.
5
Content available A novel multi-objective discrete particle swarm optimization with elitist perturbation for reconfiguration of ship power system
Zhang L., Sun J., Guo C.
Polish Maritime Research
|
2017
|
S 3
79--85
EN
A novel multi-objective discrete particle swarm optimization with elitist perturbation strategy (EPSMODPSO) is proposed and applied to solve the reconfiguration problem of shipboard power system(SPS). The new algorithm uses the velocity to decide each particle to move one step toward positive or negative direction to update the position. An elitist perturbation strategy is proposed to improve the local search ability of the algorithm. Reconfiguration model of SPS is established with multiple objectives, and an inherent homogeneity index is adopted as the auxiliary estimating index. Test results of examples show that the proposed EPSMODPSO performs excellent in terms of diversity and convergence of the obtained Pareto optimal front. It is competent to solve network reconfiguration of shipboard power system and other multi-objective discrete optimization problems.
6
Content available Numerical application of the SPEA algorithm to reliability multi-objective optimization
Guze S.
Journal of Polish Safety and Reliability Association
|
2015
|
Vol. 6, No. 1
101--114
EN
The main aim of the paper is the computer-aided multi-objective reliability optimization using the SPEA algorithm. This algorithm and the binary knapsack problem are described. Furthermore, the computer program that solves the knapsack problem with accordance to SPEA algorithm is introduced. Example of the possible application of this program to the multi-objective reliability optimization of exemplary parallel-series system is shown.
7
Content available remote A robust SVD-based image watermarking using a multi-objective particle swarm optimization
Loukhaoukha K., Nabti M., Zebbiche K.
Opto-Electronics Review
|
2014
|
Vol. 22, No. 1
45-54
EN
The major objective in developing a robust digital watermarking algorithm is to obtain the highest possible robustness without losing the visual imperceptibility. To achieve this objective, we proposed in this paper an optimal image watermarking scheme using multi-objective particle swarm optimization (MOPSO) and singular value decomposition (SVD) in wavelet domain. Having decomposed the original image into ten sub-bands, singular value decomposition is applied to a chosen detail sub-band. Then, the singular values of the chosen sub-band are modified by multiple scaling factors (MSF) to embed the singular values of watermark image. Various combinations of multiple scaling factors are possible, and it is difficult to obtain optimal solutions. Thus, in order to achieve the highest possible robustness and imperceptibility, multi-objective optimization of the multiple scaling factors is necessary. This work employs particle swarm optimization to obtain optimum multiple scaling factors. Experimental results of the proposed approach show both the significant improvement in term of imperceptibility and robustness under various attacks.
8
Content available Surrogate Worth Trade off method’s review, applications and extension
Kazemi M., Shooshtarian Z.
Polish Journal of Management Studies
|
2013
|
Vol. 8
98--109
EN
One of the most areas of research in recent years, is decision making methodologies under conflicting multi-objective. Due to this, several techniques have been developed. Among them, Surrogate Worth Trade - Off (SWT) method is interested to solve the multi-objective problem by analysts and researchers. This paper intends to review and application of Surrogate Worth Trade - Off technique. The SWT method is one approach that provides an interference between the decision maker’s preferences and the mathematical models associated with the non-dominated solutions. In the final part of this work a method is proposed in order to use SWT technique with multiple decision - makers.
PL
Jednym z najbardziej ważnych obszarów badań w ciągu ostatnich lat, jest metodologia podejmowania decyzji w przypadku wielu sprzecznych celów. W związku z tym, opracowano kilka technik. Wśród nich występuje metoda Surrogate Worth Trade-off - która koncentruje się na rozwiązaniu złożonego przez wielu naukowców i analityków. Niniejszy artykuł ma na celu przegląd i sposób stosowania tej metody. Metoda SWT to podejście, które zapewnia zakłócenia między preferencjami decydenta i modeli matematycznych związanych z niedominującymi rozwiązaniami. W końcowej części artykułu, zaproponowana została metoda w celu wykorzystania SWT przy podejmowaniu wielu decyzji.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.