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Dynamic multiobjective optimization algorithm based on average distance linear prediction model.

Li Z, Chen H, Xie Z, Chen C, Sallam A - ScientificWorldJournal (2014)

Bottom Line: Optimization in a changing environment is a challenging task, especially when multiple objectives are required to be optimized simultaneously.We have tested and compared the proposed prediction model (ADLM) with three traditional prediction models on several classic DMOP-TPS test problems.The simulation results show that our proposed prediction model outperforms other prediction models for DMOP-TPS.

View Article: PubMed Central - PubMed

Affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.

ABSTRACT
Many real-world optimization problems involve objectives, constraints, and parameters which constantly change with time. Optimization in a changing environment is a challenging task, especially when multiple objectives are required to be optimized simultaneously. Nowadays the common way to solve dynamic multiobjective optimization problems (DMOPs) is to utilize history information to guide future search, but there is no common successful method to solve different DMOPs. In this paper, we define a kind of dynamic multiobjectives problem with translational Paretooptimal set (DMOP-TPS) and propose a new prediction model named ADLM for solving DMOP-TPS. We have tested and compared the proposed prediction model (ADLM) with three traditional prediction models on several classic DMOP-TPS test problems. The simulation results show that our proposed prediction model outperforms other prediction models for DMOP-TPS.

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The statistical results of Ave(M(P)) for four prediction models on FDA5E.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig5: The statistical results of Ave(M(P)) for four prediction models on FDA5E.

Mentions: The statistical results on FDA1, FDA1E, FDA1L, FDA5, FDA5E, and FDA5L with Ave(M(P)) indicators are shown in Figures 1, 2, 3, 4, 5, and 6.


Dynamic multiobjective optimization algorithm based on average distance linear prediction model.

Li Z, Chen H, Xie Z, Chen C, Sallam A - ScientificWorldJournal (2014)

The statistical results of Ave(M(P)) for four prediction models on FDA5E.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3926970&req=5

fig5: The statistical results of Ave(M(P)) for four prediction models on FDA5E.
Mentions: The statistical results on FDA1, FDA1E, FDA1L, FDA5, FDA5E, and FDA5L with Ave(M(P)) indicators are shown in Figures 1, 2, 3, 4, 5, and 6.

Bottom Line: Optimization in a changing environment is a challenging task, especially when multiple objectives are required to be optimized simultaneously.We have tested and compared the proposed prediction model (ADLM) with three traditional prediction models on several classic DMOP-TPS test problems.The simulation results show that our proposed prediction model outperforms other prediction models for DMOP-TPS.

View Article: PubMed Central - PubMed

Affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.

ABSTRACT
Many real-world optimization problems involve objectives, constraints, and parameters which constantly change with time. Optimization in a changing environment is a challenging task, especially when multiple objectives are required to be optimized simultaneously. Nowadays the common way to solve dynamic multiobjective optimization problems (DMOPs) is to utilize history information to guide future search, but there is no common successful method to solve different DMOPs. In this paper, we define a kind of dynamic multiobjectives problem with translational Paretooptimal set (DMOP-TPS) and propose a new prediction model named ADLM for solving DMOP-TPS. We have tested and compared the proposed prediction model (ADLM) with three traditional prediction models on several classic DMOP-TPS test problems. The simulation results show that our proposed prediction model outperforms other prediction models for DMOP-TPS.

Show MeSH