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   Articles with "multiobjective evolutionary" as a keyword



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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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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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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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Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm

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recommendations! Published in 2020 at "IEEE Computational Intelligence Magazine"

DOI: 10.1109/mci.2020.2976183

Abstract: The aim of network structural balance is to find proper partitions of nodes that guarantee equilibrium in the system, which has attracted considerable attention in recent decades. Most of existing studies focus on reducing imbalanced… read more here.

Keywords: robustness; structural balance; multiobjective evolutionary; signed networks ... See more keywords
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An Autoselection Strategy of Multiobjective Evolutionary Algorithms Based on Performance Indicator and its Application

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recommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2021.3084741

Abstract: The use of ensemble approaches in the single-objective evolutionary algorithms is ubiquitous, but ensembles of multiobjective evolutionary algorithms (MOEAs) have achieved relatively little attention. On the other hand, manually selecting a suitable MOEA to solve… read more here.

Keywords: performance; performance indicator; evolutionary algorithms; multiobjective evolutionary ... See more keywords
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A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems

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recommendations! Published in 2021 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2021.3055823

Abstract: As big-data-driven complex systems, commercial recommendation systems (RSs) have been widely used in such companies as Amazon and Ebay. Their core aim is to maximize total profit, which relies on recommendation accuracy and profits from… read more here.

Keywords: recommendation systems; commercial recommendation; multiobjective evolutionary; probabilistic multiobjective ... See more keywords
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MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition

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recommendations! Published in 2019 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2017.2779450

Abstract: Recently, numerous multiobjective evolutionary algorithms (MOEAs) have been proposed to solve the multiobjective optimization problems (MOPs). One of the most widely studied MOEAs is that based on decomposition (MOEA/D), which decomposes an MOP into a… read more here.

Keywords: decomposition; multiobjective evolutionary; based hierarchical; hierarchical decomposition ... See more keywords
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A Multipopulation-Based Multiobjective Evolutionary Algorithm

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recommendations! Published in 2020 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2018.2871473

Abstract: Multipopulation is an effective optimization component often embedded into evolutionary algorithms to solve optimization problems. In this paper, a new multipopulation-based multiobjective genetic algorithm (MOGA) is proposed, which uses a unique cross-subpopulation migration process inspired… read more here.

Keywords: multipopulation; optimization; multiobjective evolutionary; algorithm ... See more keywords
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A Steering-Matrix-Based Multiobjective Evolutionary Algorithm for High-Dimensional Feature Selection.

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recommendations! Published in 2021 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2021.3053944

Abstract: In recent years, multiobjective evolutionary algorithms (MOEAs) have been demonstrated to show promising performance in feature selection (FS) tasks. However, designing an MOEA for high-dimensional FS is more challenging due to the curse of dimensionality.… read more here.

Keywords: steering matrix; matrix based; multiobjective evolutionary; feature selection ... See more keywords
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Design of Constellations for GNSS Reflectometry Mission Using the Multiobjective Evolutionary Algorithms

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3185776

Abstract: In this simulation study, the operational GNSS satellites of global positioning system (GPS), Galileo, global navigation satellite system (GLONASS), and BeiDou navigation satellite system (BDS), which are currently in service, are used to transmit signals… read more here.

Keywords: system; lfc; satellite; evolutionary algorithms ... See more keywords
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Multiobjective Evolutionary Interpretable Type-2 Fuzzy Systems With Structure and Parameter Learning for Hexapod Robot Control

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recommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2021.3063778

Abstract: This article proposes a data-driven multiobjective evolutionary interval type-2 fuzzy-logic system (IT2FLS) learning approach that considers both system performance and rule interpretability. One characteristic of the evolutionary learning framework is that the IT2FLS structure is… read more here.

Keywords: multiobjective evolutionary; type fuzzy; performance; approach ... See more keywords