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May 22, 2023 · This paper proposes vector autoregressive evolution (VARE) consisting of vector autoregression (VAR) and environment-aware hypermutation to ...
Sep 4, 2024 · This paper proposes vector autoregressive evolution (VARE) consisting of vector autoregression (VAR) and environment-aware hypermutation to ...
Abstract—Dynamic multi-objective optimisation. (DMO) handles optimisation problems with multiple. (often conflicting) objectives in varying environments.
This paper proposes vector autoregressive evolution (VARE) consisting of vector autoregression (VAR) and environment-aware hypermutation to address ...
EDMO employs evolutionary approaches to handle multi-objective optimisation problems that have time-varying changes in objective functions, constraints, and/or ...
本文提出了由向量自回归(VAR) 和环境感知超变组成的向量自回归进化(VARE)，以应对DMO 中的环境变化。VARE 构建了一个VAR 模型，该模型考虑了决策变量之间的相互关系，以 ...
A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting (AB-DMOEA) is proposed in this paper.
Missing: Optimisation. | Show results with:Optimisation.
Our proposed approach shows competitive results compared to the other algorithms in most test instances. KEYWORDS Dynamic Many-Objective Optimization, Many- ...
Missing: Optimisation. | Show results with:Optimisation.
This paper incorporates the proposed approach to reusing the obtained Pareto optimal set to train prediction models via machine learning approaches into ...
This paper proposes an approach that predicting the population based on the adjusted reference vector (RVCP) combined with a multi-objective evolutionary ...