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有關 Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms. 的學術文章
… problems with multiobjective evolutionary algorithms - ‎Bui - 27 個引述

Tackling Dynamic Problems with Multiobjective ...

Springer

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Springer

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由 LT Bui 著作被引用 27 次 — In this chapter, we discuss the use of multiobjective evolutionary algorithms (MOEAs) for solving single-objective optimization problems in dynamic ...

Tackling Dynamic Problems with Multiobjective Evolutionary ...

Semantic Scholar

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This chapter investigates the consideration of a second (artificial) objective, with the aim of maintaining greater population diversity and adaptability, ...

Handling dynamic multiobjective optimization problems ...

ScienceDirect.com

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ScienceDirect.com

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由 J Li 著作2022被引用 13 次 — This paper proposes an adaptive dynamic multiobjective optimization algorithm for handling dynamic multiobjective optimization problems with variable ...

Solving dynamic multi-objective problems with an ...

ScienceDirect.com

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ScienceDirect.com

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由 Y Hu 著作2020被引用 20 次 — The main difficulty in solving DMOPs is balancing the convergence and diversity during the optimization process in a dynamic environment.

Dynamic multi-objective optimization with evolutionary ...

ACM Digital Library

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ACM Digital Library

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由 I Hatzakis 著作2006被引用 397 次 — This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms.

Multiobjective Evolution Strategy for Dynamic ...

IEEE Xplore

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由 K Zhang 著作2020被引用 84 次 — This article presents a novel evolution strategy-based evolutionary algorithm, named DMOES, which can efficiently and effectively solve multiobjective ...

Multi-strategy dynamic multi-objective evolutionary algorithm ...

CityU Scholars

https://scholars.cityu.edu.hk › publications

CityU Scholars

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A key issue in evolutionary algorithms for dynamic multi-objective optimization problems (DMOPs) is how to detect and response environmental changes.

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A Prediction and Weak Coevolution-Based Dynamic ...

IEEE Xplore

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IEEE Xplore

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由 D Gong 著作2024被引用 2 次 — In this paper, we propose a prediction and weak coevolutionary multi-objective optimization algorithm (PWDCMO) to handle dynamic constrained multi-objective ...

Tackling dynamic problems with multiobjective evolutionary algorithms

Karlsruher Institut für Technologie (KIT)

https://publikationen.bibliothek.kit.edu › ...

Karlsruher Institut für Technologie (KIT)

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Tackling dynamic problems with multiobjective evolutionary algorithms. Bui ... Multiobjective Problem Solving from Nature - From Concepts to Applications.