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Multi Objective Optimization of Diesel Engine Emission System Based on NSGA-II

Published: 25 February 2022 Publication History
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  • Abstract

    As a more efficient power machine at present, diesel engine is widely used in industry, large vehicles, ships, power generation and other industries. Because of its advantages of high thermal efficiency, low fuel consumption, strong power and long service life that diesel engine will continue to occupy a leading position in its application field in the next few decades.[1] However, because the diesel engine uses complex hydrocarbons as fuel, the air pollution caused by its exhaust gas is very serious, so the development of diesel engine in the future must shift from the concept of only power and economy to paying equal attention to both emission and economy. In this paper, the mainstream algorithm principle is introduced based on Non-dominated Sorting Genetic Algorithms – II. Aiming at solving the optimal solution between these conflicting parameters.

    References

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    Jiang Dahai, Research on fuel injection combustion supporting composite regeneration technology of vehicle diesel particulate trap [D] Beijing Jiaotong University, 2017
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    Chen Guoliang, Wang Xufa, Genetic algorithm and its application [M]. 2001:21-29
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    Hu Wang, Gary g. yen, Zhang Xin, Multi objective particle swarm optimization algorithm based on Pareto entropy [J] Journal of software, 2014,25 (05): 1025-1050
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    Zhao Yixia, Research and application of improved adaptive non dominated sorting genetic algorithm in multi-objective job shop scheduling [D] Dalian Jiaotong University, 2017
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    Fan Shumin, Application of genetic algorithm in PID control [D] Northern University of technology, 2007
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    Cavicchio D, Annual conf, Reproductive Adaptive Plans. In: Proc. Of the ACM 1972 1-11, 1972
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    Zhaokuan Hao, Set Theory[M]. New York: Chelsea Publishing Company, 1957:327-329

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    cover image ACM Other conferences
    ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
    December 2021
    699 pages
    ISBN:9781450385053
    DOI:10.1145/3508546
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 February 2022

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    Author Tags

    1. Diesel engine optimization
    2. Multi-objective Optimization Problem
    3. Non-dominated Sorting Genetic Algorithms – II(NSGA-II)

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    ACAI'21

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    Overall Acceptance Rate 173 of 395 submissions, 44%

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