Wyniki wyszukiwania - BazTech

1

Multi-criteria Scheduling in Parallel Environment with Learning Effect

Liu Xinbo, Feng Yue, Ding Ning, Li Rui, Chen Xin

Foundations of Computing and Decision Sciences

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2024

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Vol. 49, No. 1

3--20

EN

This paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem. An improved particle swarm optimization algorithm equipped with the overloaded operators, as well as a procedure of Levy flight, is proposed to generate the Pareto-optimal solutions. The experimental results show that the Levy flight strategy can effectively improve the performance of the algorithm, which can generate more non-dominated solutions, and slightly reduce the execution time of the process.

2

Development of Criteria for High-Technology Rice and Corn Suitability Assessment – A Case Study in the An Giang province, Viet Nam

Nguyen Phan Chi, Vu Pham Thanh, Minh Vo Quang, Tri Le Quang, Khuong Nguyen Quoc

Journal of Ecological Engineering

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2023

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Vol. 24, nr 1

239--247

EN

This study identified the zones likely to apply high-tech rice and corn technology based on criteria from different expert groups. Based on the resulting limiting factor for ability suitable, structural and non-structural solutions have been proposed to improve the suitability of rice and corn with high-tech applications. It was the basic foundation to support strategic planners in agricultural development sustainability in the future. High technology application in agricultural production is an inevitable trend in today’s society. In Vietnam, high-tech agricultural production has developed for a long time in high-tech industrial park production. However, in agricultural production, applying high technology with mass production has yet to have any specific regulations on criteria for implementation in production. On that basis, the research aimed at determining the requirements for developing high-tech agriculture with mass production. Therefore, the predefined criteria for primary and secondary data were developed, which were used for the data collected from farmers, managers, and scientists. Thereby, a production hierarchy of adaptations for rice and corn was built based on consultation results with the farmers and scientists and published studies. The results also made three land adaptation zones apply high technology in mass production for these two crops. The areas suitable for producing rice and corn with high technology applications were marginally suitable, and not suitable prevailed. No region in the An Giang province has a strong potential for cultivating high-tech rice and corn. This result also established adaptive upgrading solutions for applying high technology in the future, which helped improve agricultural production efficiency.

3

Application of entropy method for estimating factor weights in mining-method selection for development of novel mining-method selection system

Manjate Pansilvania Andre Manjate, Saadat Mahdi, Toriya Hisatoshi, Inagaki Fumiaki, Kawamura Youhei

Journal of Sustainable Mining

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2021

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Vol. 20, iss. 4

296--308

EN

Mining-method selection (MMS) is one of the most critical and complex decision making processes in mine planning. Therefore, it has been a subject of several studies for many years culminating with the development of different systems. However, there is still more to be done to improve and/or create more efficient systems and deal with the complexity caused by many influencing factors. This study introduces the application of the entropy method for feature selection, i.e., select the most critical factors in MMS. The entropy method is applied to assess the relative importance of the factors influencing MMS by estimating their objective weights to then select the most critical. Based on the results, ore strength, host-rock strength, thickness, shape, dip, ore uniformity, mining costs, and dilution were identified as the most critical factors. This study adopts the entropy method in the data preparation step (i.e., feature selection) for developing a novel-MMS system that employs recommendation system technologies. The most critical factors will be used as main variables to create the dataset to serve as a basis for developing the model for the novel-MMS system. This study is a key step to optimize the performance of the model.

4

Sailing route planning method considering various user categories

Życzkowski Marcin

Polish Maritime Research

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2020

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nr 3

149--158

EN

The article describes the methodology related to determining the multi-criteria routes for sailing ships. Details of sea area discretisation and discretisation of the description of the sailing vessel properties and manoeuvring principles are shown. User requirements were specified (for five different categories of users) and on this basis the criteria for selecting the most suitable shipping route were formulated. The presented algorithm recommends a route for a given user category by means of defined restrictions and configuration parameters. The applied multi-criteria approach proves the universality and usability of the sailing ship route planning method.

5

Network Dimensioning with Maximum Revenue Efficiency for the Fairness Index

Zalewski G., Ogryczak W.

Journal of Telecommunications and Information Technology

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2016

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nr 4

15--21

EN

Network dimensioning is a specific kind of the resource allocation problem. One of the tasks in the network optimization is to maximize the total flow on given pairs of nodes (so-called demands or paths between source and target). The task can be more complicated when different revenue/profit gained from each unit of traffic stream allocated on each demand is taken into account. When the total revenue is maximized the problem of starvation of less attractive paths can appear. Therefore, it is important to include some fairness criteria to preserve connections between all the demands on a given degree of quality, also for the least attractive paths. In this paper, a new bicriteria ratio optimization method which takes into account both, the revenue and the fairness is proposed. Mathematical model is built in a form of linear programming. The solutions are analyzed with some statistical measures to evaluate their quality, with respect to fairness and efficiency. In particular, the Gini’s coefficient is used for this purpose.

6

Comparison of Selected Fair-optimization Methods for Flow Maximization between Given Pairs of Nodes in Telecommunications Network

Zalewski G., Ogryczak W.

Journal of Telecommunications and Information Technology

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2016

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nr 3

18--24

EN

Dimensioning of telecommunications networks requires the allocation of the ows (bandwidth) to given trac demands for the source-destination pairs of nodes. Unit ow allocated to the given demand is associated with revenue that may vary for dierent demands. Problem the decision-making basic algorithms to maximize the total revenue may lead to the solutions that are unacceptable, due to "starvation" or "locking" of some demand paths less attractive with respect to the total revenue. Therefore, the fair optimization approaches must be applied. In this paper, two fair optimization methods are analyzed: the method of ordered weighted average (OWA) and the reference point method (RPM). The study assumes that ows can be bifurcated thus realized in multiple path schemes. To implement optimization model the AMPL was used with general-purpose linear programming solvers. As an example of the data, the Polish backbone network was used.

7

Oceny wielokryterialne w procesach decyzyjnych

Zoleński W.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2015

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z. 78

541--551

PL

Oceny wielokryterialne złożonych zjawisk są ważną częścią problemów decyzyjnych. W ocenach wielokryterialnych występują różnego typu trudności, a w szczegól-ności liczność i różnorodność ocenianych zjawisk, liczność i różnorodność zmiennych diagnostycznych, charakteryzujących oceniane zjawisko, trudność przekształcenia charakterystyk jakościowych na mierniki ilościowe oraz trudności w agregacji cząstkowych kryteriów oceny. W artykule przedstawiono wybrane modele ocen wielokryterialnych, które odpowiadają różnym sytuacjom decyzyjnym.

EN

Multi-criteria evaluation of complex phenomena is an important part of decision problems. The multi-criteria evaluations are different types of difficulties, in particular, the multiplicity and diversity of the assessed phenomena, the multiplicity and the variety of diagnostic variables characterizing the evaluated phenomenon, the difficulty to transform the quality characteristics of quantitative traits, the difficulty of aggregating sub-criteria. This paper presents selected models of multi-criteria evaluation corresponding to different decision-making situations.

8

Multi-Criteria Optimization in Fuel Distribution

Pempera J., Żelazny D.

Research in Logistics & Production

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2015

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Vol. 5, No. 1

77--84

EN

This paper deals with some computational study of multi-criteria optimization in fuel distribution problem. We consider vehicle routing problem, e.g. routing of a fleet of tank trucks, for one of the famous polish petroleum companies. For the purpose of solving this problem, we developed the random search algorithm, which explores the broad range of feasible sets of routes and searches for non-dominated multi-criteria solutions. The problem is examined on real data, which contains distances between 50 petrol stations and one central warehouse (refinery). Obtained results indicate, that it is possible to obtain single solution and satisfy both optimization criteria. Based on the analysis of the collected data, we formulate a number of proposals useful in future for construction of algorithms for multi-criteria fuel distribution optimization.

9

Multi-Criteria 3-Dimension Bin Packing Problem

Kacprzak Ł., Rudy J., Żelazny D.

Research in Logistics & Production

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2015

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Vol. 5, No. 1

85--94

EN

In this paper a multi-criteria approach to the 3-dimensions bin packing problem is considered. The chosen maximization criteria are the number and the total volume of the boxes loaded into the container. Existing solution representation and decoding method are applied to the problem. Next, two metaheuristic algorithms, namely simulated annealing and genetic algorithm are developed using the TOPSIS method for solution evaluation. Both algorithms are then used to obtain approximations of the Pareto front for a set of benchmarks from the literature. Despite the fact that both criteria work in favor of each other, we managed to obtain multiple solutions in many cases, proving that lesser number of boxes can lead to better utilization of the container volume and vice versa. We also observed, that the genetic algorithms performs slightly better in our test both in the terms of hyper-volume indicator and number of non-dominated solutions.

10

Hadamard incomplete sensitivity and shape optimization

Mohammadi B.

Control and Cybernetics

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2010

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Vol. 39, no 3

615-626

EN

The paper discusses incomplete sensitivity evaluations for shape optimization problems. It also shows how reduced order models can be introduced to extend the validity domain of the approach.