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An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition

Published • Jun 1, 2017
NobleIDNI3P02W16R09S67
Authors:
Xi Lin
,
Qingfu Zhang
,
Sam Kwong

Abstract

This paper proposes a novel surrogate-model-based multi-objective evolutionary algorithm, which is called Multi-objective Bayesian Optimization Algorithm based on Decomposition (MOBO/D). In this algorithm, a multi-objective problem is decomposed into several subproblems which will be solved simultan...

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