Aug 10, 2016 · The experimental results show that the proposed AMODE-based MOA improves the APU emissions significantly, at the expense of a slight drop in ...
The experimental results show that the proposed AMODE-based MOA improves the APU emissions significantly, at the expense of a slight drop in fuel efficiency ...
Dec 9, 2016 · Then, the adaptive multi-objective differential evolution (AMODE) al- gorithm is proposed to solve the APU operating point multi- objective ...
Aims: This paper proposes a differential evolution algorithm to solve the multi-objective sparse reconstruction problem (DEMOSR).
... This paper chooses PSO algorithm to solve the optimal sizing problem of DC MGs. The PSO algorithm is a heuristic algorithm based on population and ...
Sep 4, 2019 · The train operation is a multi-objective optimization process including several operating indexes, such as safety, punctuality, ...
Shen, Y., Wang, Y.: Operating point optimization of auxiliary power unit using adaptive multi-objective differential evolution algorithm. IEEE Trans. Ind ...
Nov 15, 2021 · This paper presents an adaptive constraint differential evolution (ACDE) algorithm, in which the novelty lies primarily in these three points.
Missing: Auxiliary | Show results with:Auxiliary
The proposed multi-objective optimization approach shows significant improvements in emissions performance, at the expense of a slight drop in fuel efficiency.
A Simple Yet Efficient Surrogate-Assisted Differential ...
www.researchgate.net › publication › 37...
Then, the adaptive multi-objective differential evolution (AMODE) algorithm is proposed to solve the APU operating point multi-objective optimization problem.