Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method

Sadeghzadeh, Keivan; Salehi, Mohammad

doi:10.1016/j.ijhydene.2010.07.064

Cited by 63 publications

(24 citation statements)

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“…In such cases, evaluating solutions based on z nad may be helpful for approximating the entire Pareto optimal front. EdN is often used in decision making [52], [53], where the solution farthest from the nadir point is the best.…”

Section: B Calculation Of the Convergence And The Distribution Indicmentioning

confidence: 99%

A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

Liu

Gong

Sun

et al. 2017

IEEE Trans. Cybern.

232

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Abstract-Most existing multi-objective evolutionary algorithms experience difficulties in solving many-objective optimization problems due to their incapability to balance convergence and diversity in the high-dimensional objective space. In this paper, we propose a novel many-objective evolutionary algorithm using a one-by-one selection strategy. The main idea is that in the environmental selection, offspring individuals are selected one by one based on a computationally efficient convergence indicator to increase the selection pressure towards the Pareto optimal front. In the one-by-one selection, once an individual is selected, its neighbors are de-emphasized using a niche technique to guarantee the diversity of the population, in which the similarity between individuals is evaluated by means of a distribution indicator. In addition, different methods for calculating the convergence indicator are examined and an angle-based similarity measure is adopted for effective evaluations of the distribution of solutions in the high-dimensional objective space. Moreover, corner solutions are utilized to enhance the spread of the solutions and to deal with scaled optimization problems. The proposed algorithm is empirically compared with eight state-of-the-art many-objective evolutionary algorithms on 90 instances of 16 benchmark problems. The comparative results demonstrate that the overall performance of the proposed algorithm is superior to the compared algorithms on the optimization problems studied in this work.

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Section: B Calculation Of the Convergence And The Distribution Indicmentioning

confidence: 99%

A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

Liu

Gong

Sun

et al. 2017

IEEE Trans. Cybern.

232

View full text Add to dashboard Cite

show abstract

“…There are many studies in the literature where TOPSIS method has been used to deal with an energy systems-related comparison or ranking problem [18], [20], [21], [26]- [33]. However, application of multi-criteria decision making methods in general, and not only TOPSIS in particular, in the field comparing various energy technologies for automobiles is not common.…”

Section: A Principles Of Topsismentioning

confidence: 99%

Multi-Criteria Decision Making-Based Comparison of Power Source Technologies for Utilization in Automobiles

Üçtuğ¹,

Kabakcı²,

Bekdikhan³

et al. 2015

JOCET

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Abstract-Four automobiles with different power sources were compared and ranked according to five different criteria by using a multi-criteria decision making approach named TOPSIS. An internal combustion engine vehicle, an electric vehicle, a hybrid electric vehicle and a hydrogen fuel cell vehicle, all with similar sizes and characteristics, were compared in terms of their initial costs, operating costs, environmental effects, on-board safety and performance. The scores for each of these criteria were obtained from the literature. Criteria weights were determined via a survey which was conducted to a total of 151 people, who were then divided into three groups according to their monthly income, considering that with variant incomes preferences and priorities differ. For all cases, the ideal technology emerged to be internal combustion engine vehicles, due to their low initial costs, external costs and high performance. Hybrid electric vehicles appeared almost as favorable as internal combustion engine automobiles. Hydrogen fuel cell vehicles gathered the least scores, given the premature state of the technology and consequent high prices. The results of our study show that while internal combustion engine vehicles continue to dominate the automotive market for the time being, hybrid electric vehicles have the potential to become competitive alternatives.

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“…Globalmente, mobilidade da sociedade contemporanea demanda alto consumo de energia (Zhou et al, 2014) e milhões de pessoas utilizam principalmente veıćulos alimentados por combustıveis fósseis (Sadeghzadeh e Salehi, 2011). No Brasil, até 2050, a atividade de transporte de carga crescerá em media 3,8% aa, com preponderancia do transporte rodoviário, o que terá repercussões em 51% do diesel na demanda total do setor que continuará a ser o maior responsavel por emissões de CO2 (EPE, 2014).…”

Section: Introductionunclassified

Análise multicritério da ecoeficiência do transporte de cargas com veículos leves

et al. 2018

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RESUMOÉ crescente a busca por alterna vas de transporte mais sustentáveis, com uso de menos recursos e que causem menos impactos ao meio ambiente. Esta pesquisa busca avaliar a ecoeficiência de veículos leves para transporte de cargas, através de métodos de apoio à decisão, para orientar a escolha da alterna va com melhor desempenho econômico e ambiental. A avaliação de desempenho destes veículos foi desenvolvida com a u lização de um modelo híbrido composto de duas técnicas de apoio mul critério à decisão conhecidas: AHP e TOPSIS, para a classificação das alterna vas. O modelo AHP-TOPSIS foi considerado robusto e bastante adequado para resolver esse po de problema. Os resultados desta pesquisa ajudam a iden ficar o nível de desempenho dos veículos e elaborar um ranking com base na ecoeficiência, o que ajudará a orientar o julgamento dos decisores no momento da escolha do veículo. ABSTRACTThe search for more sustainable transporta on alterna ves, with the use of fewer resources and with less impact on the environment, is increasing. This research aims to evaluate the ecoefficiency of light vehicles for cargo transporta on, through decision support methods, to guide the choice of the alterna ve with beEer economic and environmental performance. The performance evalua on of these vehicles was developed using a hybrid model composed of two known mul criteria decision techniques to classify the alterna ves: AHP and TOPSIS. This model was considered robust and quite adequate to solve this type of problem. The results of this ar cle aim to iden fy the performance level of the vehicles and to elaborate a ranking based on ecoefficiency, which will help to guide the judgment of the decision makers in the choice of the vehicle. Palavras-chaves:AHP, TOPSIS, Ecoeficiência, Transporte automo vo. Keywords:AHP, TOPSIS, Eco-efficiency, Automo ve Transport. DOI:10.14295/transportes.v26i1.1313 INTRODUÇÃOA mobilidade da sociedade contemporânea enfrenta como grande desa io a busca pela sustentabilidade do transporte de passageiros e de cargas, em um cenário fortemente dependente de combustıveis fós-seis, que impactam diretamente na crescente taxa de emissões de gases poluentes e causadores de efeito estufa. Em decorrencia do seu alto impacto sobre o meio ambiente, o ponto de vista sustentavel tem ganhado importância como parte do desenvolvimento de estrateǵias essenciais para empresas de transporte e logıśtica (Oberhofer e Dieplinger, 2014).A mobilidade pessoal é condiçaõ imprescindıvel para a humanidade, no acesso ao emprego, à educação e cultura, à troca de mercadorias e ao desenvolvimento socioeconômico dos povos, em uma economia globalizada. Aleḿ de fator essencial da liberdade individual, do crescimento econômico e da geração de riqueza, o transporte permite a extensão territorial das relações sociais e a troca de culturas (Philipon, 2010).

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Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method

Cited by 63 publications

References 1 publication

A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

Multi-Criteria Decision Making-Based Comparison of Power Source Technologies for Utilization in Automobiles

Análise multicritério da ecoeficiência do transporte de cargas com veículos leves

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