首先所有的非支配解分配在 F1 上,P−F1 中的非支配解分配给 F2,重复这个过程直到所有的解都被分配到对应的前沿上。 本文使用的非支配排序算法为高效非支配排序顺序策略(ENS-SS),该算法所有解的前沿数不是作为一个整体确定的,而是将可行解逐一应用于后续的可行解。ENS-SS 排序的优点是可以避免重复比较,从而降...
Generalized Nash equilibrium problemMulti-objective optimizationEvolutionary algorithmsPareto-based evolutionary multiobjective approaches are methods that use the Pareto dominance concept to guide the search of evolutionary algorithms towards the Pareto frontier of a problem. To address the challenge of ...
Mora, A.M., Garcia-Sanchez, P., Castillo, P.A.: Pareto-based multi-colony multi-objective ant colony optimization algorithms: an island model proposal. In: Soft Computing. LNCS, vol. 17, 1175–1207. Springer, Heidelberg (2013)Mora A M; Garcia-Sanchez P; Merelo J J;.Pareto-based ...
Pareto-based multi-colony multi-objective ant colony optimization algorithms: an island model proposal[J] . A. M. Mora,P. García-Sánchez,J. J. ... Y Gong,W Wang,S Gong - IEEE International Conference on Smart Data;ieee Congress on IEEE International Conference on Green Computing & Commun...
A new Pareto-based genetic algorithm is proposed to solve multi-objective scheduling problems of automated manufacturing systems. In automated manufacturing systems, scheduling not only sets up a routing for each job but also provides a feasible sequence of job operations. Possible solutions are ...
It is commonly accepted that Pareto-based evolutionary multiobjective optimization (EMO) algorithms encounter difficulties in dealing with many-objective problems. In these algorithms, the ineffectiveness of the Pareto dominance relation for a high-dimensional space leads diversity maintenance mechanisms to ...
aA Pareto-based multiobjective formulation is proposed in (Ahuja, Das & Pahwa 2007), transforming voltage deviation in the third objective. 一种基于Pareto的multiobjective公式化在第三个宗旨提议(Ahuja、Das & Pahwa 2007年),变换电压偏差。 [translate] ...
In this paper, we propose a Pareto-based multi-objective evolutionary approach to generate a set of Mamdani fuzzy systems from numerical data. We adopt a variant of the well-known (2+2) Pareto Archived Evolutionary Strategy ((2+2)PAES), which adopts the one-point crossover and two ...
Pareto-based robust optimization scenarios have been investigated to encounter the permeability uncertainties. These multi-objective RO scenarios have been done based on a small representative set of realizations but they have introduced optimum points that could be reliable for the original set of realiz...
In this paper we expand our concept-based evolution method, which facilitates team's brainstorming for conceptual design, to be guided by an interactive Pareto-directed approach. The survivability of conceptual solutions is influenced by both model-based fitness and teammates' perceptions and preference...