This paper focuses on multi-objective large-scale non-linear programming (MOLSNLP) problems with block angular structure. We extend the technique for order preference by similarity ideal solution (TOPSIS) to solve them. Compromise (TOPSIS) control minimizes the measure of distance, provided that the closest solution should have the shortest distance from the positive ideal solution (PIS) as wel...

The multiple criteria decision making (MCDM) methods VIKOR and TOPSIS are based on an aggregating function representing ‘‘closeness to the ideal’’, which originated in the compromise programming method. In VIKOR linear normalization and in TOPSIS vector normalization is used to eliminate the units of criterion functions. The VIKOR method of compromise ranking determines a compromise solution, p...

Introduction: Tracheal chondrosarcoma (TCS) is a rare malignancy, with only 19 cases described in the literature to date. Case presentation: Herein, we presented the third-largest TCS with such an airway compromise that neither orotracheal intubation nor jet ventilation or even tracheostomy was possible. So, extracorporeal circulation was needed to excise the tumor in a one-stage procedure. Th...

Devising a solution to the action selection problem rests on a definition of which actions are preferable over others. Among many properties suggested for action selection mechanisms, one prominent one is the ability to select compromise actions, i.e. actions that are not the best to satisfy any active goal in isolation, but rather compromise between the multiple goals. This paper performs a ma...

Designing accessible interfaces does not necessarily mean making them boring, and abandoning an original color scheme. In this paper we present an approach that explores the color palette space, searching for a solution that represents a good compromise between aesthetics and accessibility requirements. This search is performed by using an interactive genetic algorithm which takes into account ...

This work proposes a two-stage immune algorithm that embeds the compromise programming to perform multi-objective optimal capacitor placement. A new problem formulation model that involves fuzzy sets to reflect the imprecise nature of objectives and incorporates multiple planning requirements is presented. The proposed approach finds a set of noninferior (Pareto) solutions rather than any singl...

A novel supply chain operational transport planning model is developed in this paper. The goals of the model are to minimize the number of used trucks and the total inventory levels. Because of somewhat imprecise nature of vehicle capacities and decision makers’ aspiration levels for the goals, a fuzzy multiobjective linear programming (FMOLP) modeling approach is adopted. Moreover, an interact...

The aim of this paper is to introduce and solve new search problems in multiobjective state space graphs. Although most of the studies concentrate on the determination of the entire set of Pareto optimal solution paths, the size of which can be, in worst case, exponential in the number of nodes, we consider here more specialized problems where the search is focused on Pareto solutions achieving...

Multi-objective optimisation (MOO) is an important class of problem in engineering. The conflict of objectives in MOO places the issue of compromise in a central position. Since no single solution optimises all objectives, decision-making based on human preference is a part in solving MOO problems. In this paper application of the evolutionary MOO to the dynamic system controller design by use ...