The IGD + indicator based evolutionary algorithm for expensive multi-objective optimization problems

Yudong Wang
Yudong Wang
Mingcheng Dai
Mingcheng Dai

chinese control and decision conference, 2020.

Cited by: 0|Views2

Abstract:

Due to the high experimental cost in function evaluation procedure, commonly used evolutionary algorithms are difficult to solve expensive multi-objective optimization problems. In this paper, we propose a new modified inverted generational distance based evolutionary algorithm to address this issue. The proposed method has introduced a K...More

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