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   Articles with "evolutionary algorithm" as a keyword



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A dynamic surrogate-assisted evolutionary algorithm framework for expensive structural optimization

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recommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"

DOI: 10.1007/s00158-019-02391-8

Abstract: In the expensive structural optimization, the data-driven surrogate model has been proven to be an effective alternative to physical simulation (or experiment). However, the static surrogate-assisted evolutionary algorithm (SAEA) often becomes powerless and inefficient when… read more here.

Keywords: evolutionary algorithm; framework; surrogate; optimization ... See more keywords
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Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes

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recommendations! Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2076-3

Abstract: It has been increasingly reported that the multiobjective optimization evolutionary algorithm based on decomposition (MOEA/D) is promising for handling multiobjective optimization problems (MOPs). MOEA/D employs scalarizing functions to convert an MOP into a number of… read more here.

Keywords: evolutionary algorithm; penalty schemes; new penalty; penalty ... See more keywords
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Chaos-assisted multiobjective evolutionary algorithm to the design of transformer

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recommendations! Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2145-7

Abstract: In this paper, multiobjective transformer design (TD) optimization is carried out using multiobjective evolutionary algorithm (MOEA) based on decomposition with dynamical resource allocation (MOEA/D-DRA) for four sets of conflicting TD bi-objectives such as (i) purchase… read more here.

Keywords: multiobjective evolutionary; evolutionary algorithm; chaos assisted; algorithm ... See more keywords
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An evolutionary algorithm using spherical inversions

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recommendations! Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-016-2461-y

Abstract: This paper introduces an evolutionary algorithm which uses reflections and spherical inversions for global continuous optimization. Two new geometric search operators are included in the design of the algorithm: the inversion search operator and the… read more here.

Keywords: search operator; evolutionary algorithm; spherical inversions; search ... See more keywords
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Distance-dependent parameter adaption for multi-objective evolutionary algorithm based on decomposition

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recommendations! Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-017-2980-1

Abstract: Multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been proved competitive in tackling complex multi-objective optimization problems. However, the performance of MOEA/D is very sensitive to its parameter settings. Differential evolutionary (DE) operator is the… read more here.

Keywords: evolutionary algorithm; moea; objective evolutionary; distance ... See more keywords
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Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies

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recommendations! Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-04071-7

Abstract: This paper proposes a novel master–slave parallel evolutionary algorithm (EA) approach with different asynchrony and provides its detailed analyses on multi-objective optimization problems. We express the proposed EA with different asynchrony as a semi-asynchronous EA.… read more here.

Keywords: semi asynchronous; analysis; multi objective; evolutionary algorithm ... See more keywords
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Approximating the Pareto front of a bi-objective problem in telecommunication networks using a co-evolutionary algorithm

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recommendations! Published in 2020 at "Wireless Networks"

DOI: 10.1007/s11276-018-01921-4

Abstract: This paper studies a telecommunication network design problem. In this network, users must be connected to capacitated hubs. Then, hubs that concentrate users must be connected to each other and possibly to other hubs with… read more here.

Keywords: pareto; objective problem; problem; front objective ... See more keywords
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Interactive multiobjective evolutionary algorithm based on decomposition and compression

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recommendations! Published in 2021 at "Science China Information Sciences"

DOI: 10.1007/s11432-020-3092-y

Abstract: Many real-world optimization problems involve multiple conflicting objectives. Such problems are called multiobjective optimization problems (MOPs). Typically, MOPs have a set of so-called Pareto optimal solutions rather than one unique optimal solution. To assist the… read more here.

Keywords: multiobjective evolutionary; evolutionary algorithm; algorithm based; interactive multiobjective ... See more keywords
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An Adaptive Island Evolutionary Algorithm for the berth scheduling problem

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recommendations! Published in 2020 at "Memetic Computing"

DOI: 10.1007/s12293-019-00292-3

Abstract: Increasing volumes of the seaborne containerized trade put additional pressure on marine container terminal operators. Long congestion periods have been reported at certain marine container terminals due to inability of the infrastructure to serve the… read more here.

Keywords: adaptive island; island evolutionary; problem; algorithm ... See more keywords
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A decomposition based multiobjective evolutionary algorithm with self-adaptive mating restriction strategy

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recommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-018-00919-w

Abstract: MOEA/D decomposes the multiobjective optimization problem into a number of subproblems. However, one subproblem’s requirement for exploitation and exploration varies with the evolutionary process. Furthermore, different subproblems’ requirements for exploitation and exploration are also different… read more here.

Keywords: multiobjective evolutionary; decomposition based; restriction; based multiobjective ... See more keywords
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Identification of the hydrogen diffusion parameters in bearing steel by Evolutionary Algorithm

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recommendations! Published in 2017 at "Journal of Alloys and Compounds"

DOI: 10.1016/j.jallcom.2017.02.208

Abstract: Abstract A novel mathematical method for the identification of hydrogen diffusion parameters in metals has been implemented. This method is based on a clustering-based Evolutionary Algorithm which provides robust and efficient optimization of the diffusion… read more here.

Keywords: evolutionary algorithm; identification hydrogen; diffusion; diffusion parameters ... See more keywords