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Published in 2020 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-019-01486-9
Abstract: A non-dominated sorting modified teaching–learning-based optimization (NSMTLBO) is proposed to obtain the optimum solution for a multi-objective problem related to machining Polytetrafluoroethylene. Firstly, an experimental design is done and the L27 orthogonal array with three-level…
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Keywords:
machining;
optimization;
modified teaching;
sorting modified ... See more keywords
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Published in 2021 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2021.01.035
Abstract: Abstract Swarm-based nature-inspired optimization techniques are developing rapidly due to their universal acceptance and capability in solving various real-life challenges efficiently. Hybridization of swarm intelligence based optimization algorithms with multi-objective based solution techniques is creating…
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Keywords:
optimization;
optimization algorithm;
dominated sorting;
whale optimization ... See more keywords
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Published in 2018 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.09.022
Abstract: Abstract The paper presents the sizing of a hybrid electric propulsion system for a prototype aircraft. The main contribution of the paper is to apply multi-objective optimization in the retrofit of a mid-scale aircraft and…
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Keywords:
aircraft;
non dominated;
dominated sorting;
propulsion system ... See more keywords
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Published in 2021 at "Sustainable Production and Consumption"
DOI: 10.1016/j.spc.2021.02.009
Abstract: Abstract The concrete manufacturing supply chain is one of the most carbon-intensive systems in the construction industry. Decision-making based on a multi-objective approach that accommodates the environmental impacts of concrete manufacturing has been rarely investigated.…
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Keywords:
genetic algorithm;
dominated sorting;
supply chain;
algorithm ... See more keywords
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Published in 2024 at "Engineering Optimization"
DOI: 10.1080/0305215x.2024.2354889
Abstract: ABSTRACT To address the challenges of solving the many-objective flexible job-shop scheduling problem, this study proposes a loose non-dominated sorting genetic algorithm III (LNSGA-III), an enhancement of the non-dominated sorting genetic algorithm III (NSGA-III). First,…
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Keywords:
many objective;
sorting genetic;
genetic algorithm;
dominated sorting ... See more keywords
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Published in 2022 at "AAPS PharmSciTech"
DOI: 10.1208/s12249-022-02379-6
Abstract: In the context of increasing application of modelling methods in the field of pharmaceutics, this study aims to reduce the weight of sildenafil orally disintegrating tablets (ODTs) and optimize their formulation through modelling methods. To…
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Keywords:
sorting genetic;
formulation;
genetic algorithm;
orally disintegrating ... See more keywords
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Published in 2017 at "Scientia Iranica"
DOI: 10.24200/sci.2017.2373
Abstract: Ski jump is one of the most eective structures in energy dissipation over spillways. Spillways have long been of practical importance to safety of dams. The major criteria in hydraulic design are based on the…
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Keywords:
algorithm;
dominated sorting;
bucket;
spillway ... See more keywords
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Published in 2024 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse12030485
Abstract: Due to the intensification of economic globalization and the impact of global warming, the development of methods to reduce shipping costs and reduce carbon emissions has become crucial. In this study, a multi-objective optimization algorithm…
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Keywords:
sorting genetic;
navigation;
algorithm;
genetic algorithm ... See more keywords