This paper introduces the concept of Aggregation Trees for the visualization of the results of
high-dimensional multi-objective optimization problems, or many-objective problems and as …

Various medical and surgical units operate in a typical hospital and to treat their patients
these units compete for infrastructure like operating rooms (OR) and ward beds. How that …

This paper proposes a parallel computation model for the self-organizing map (SOM) neural
network applied to Euclidean traveling salesman problems (TSP). This model is intended for …

In this paper, a new strategy of visualizing Pareto front points is proposed when solving multi-
objective optimization problems. A problem of graphical representation of the Pareto front …

Visualisation of Pareto Front (PF) approximations of many-objective optimisation problems
(MaOP) is critical in understanding and solving a MaOP. Research is ongoing on developing …

Abstract [eng] Interactive methods of multiobjective optimization repetitively derive Pareto
optimal solutions based on decision maker's preference information and present the …

Multiobjective clustering techniques have been used to simultaneously consider several
complementary aspects of clustering quality. They optimize two or more cluster validity …

The traditional methods used for presenting and visualizing the non-dominating solutions in
multi-objective electric machine optimization problems mainly include the parallel …

This paper proposes a parallel model of the self-organizing map (SOM) neural network
applied to the Euclidean traveling salesman problem (TSP) and intended for implementation …

This paper proposes a technique of Aggregation Trees to visualize the results of high-
dimensional multiobjective optimization problems, or many-objective problems. The high …