An improved evolutionary algorithm is proposed to perform multi-objective dynamic optimization of a semi-batch styrene polymerization process. The target is to determine the optimal feeding trajectories and the reactor operating temperature, which maximize the monomer conversion rate and minimize the ...
Dynamic Multiobjective Problems cover a set of real-world problems that have many conflicting objectives. These problems are challenging and well known by
Section 2 describes the related work of the dynamic multi-objective optimization problems and fuzzy inference mechanism. In Section 3, a novel population prediction strategy based on fuzzy inference and one-step prediction (FIOPPS) is described in detail. In Section 4, a new MOTLBO/D is ...
Parametric and dynamic multiobjective optimization problems for adaptive optimal control are carefully defined; some test problems are introduced for both continuous and discrete design spaces. A simple example of a dynamic multiobjective optimization pr
1.In this paper,noninferior nature of the solution of multiobjective dynamic programming is discussed.针对多目标动态规划问题,指出其一般只存在非劣解的性质,提出了多目标阶段收益非劣矩阵、多目标阶段收益非劣合成矩阵和多目标逆向递推矩阵等概念。 4)Dynamic multi-objective optimization动态多目标优化 ...
Dynamic multi-objective optimization is a current hot topic. This paper discusses several issues that has not been reported in the static multi-objective optimization literature such as the loss of non-dominated solutions, the emergence of the false non-dominated solutions and the necessity for an ...
2) Dynamic multi-objective optimization 动态多目标优化 1. A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective optimization problems is proposed based on the functions of adaptive learning,immune memory,antibody diversity and dynamic balance maintenance,etc. ...
4) Dynamic multi-objective optimization 动态多目标优化 1. A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective optimization problems is proposed based on the functions of adaptive learning,immune memory,antibody diversity and dynamic balance maintenance,etc. ...
Dynamic multi-objective optimization problems (DMOPs), in which the environments change over time, have attracted many researchers' attention in recent years. Since the Pareto set (PS) or the Pareto front (PF) can change over time, how to track the movement of the PS or PF is a challengin...
Guided prediction strategy based on regional multi-directional information fusion for dynamic multi-objective optimization 来自 dx.doi.org 喜欢 0 阅读量: 27 作者:J Feng,D Chen,F Zou,F Ge,X Bian,X Zhang 摘要: A new guided prediction strategy is developed for DMOPs.The regional prediction ...