In this paper, we consider the problem of searching nondominated alternatives in a discrete multiple criteria problem. The search procedure is based on the use of a reference direction. A reference direction reflects the desire of the decision maker (DM) to specify a search direction. To find a set of given alternatives related somehow to the reference direction specified by the DM, the referen...

This paper describes a new Preference-based Interactive Evolutionary (PIE) algorithm for multi-objective optimization which exploits the advantages of both evolutionary algorithms andmultiple criteria decision making approaches. Our algorithm uses achievement scalarizing functions and the potential of population based evolutionary algorithms to help the decision maker to direct the search towar...

Recently MOEA/D (multi-objective evolutionary algorithm based on decomposition) was proposed as a high-performance EMO (evolutionary multiobjective optimization) algorithm. MOEA/D has high search ability as well as high computational efficiency. Whereas other EMO algorithms usually do not work well on many-objective problems with four or more objectives, MOEA/D can properly handle them. This is...

Array syntax, existed in many languages, adds expressive power by allowing operations on and assignments to the array sections. When compiling to a uniprocessor machine, the array statement must be converted into a loop that maintains the correct semantics, by a process called scalarization. Scalarization presents a significant technical problem because an array assignment needs to be implement...

Purpose – The purpose of this paper is threefold: to make explicitly clear the range of efficient multi-objective optimization algorithms which are available with kriging; to demonstrate a previously uninvestigated algorithm on an electromagnetic design problem; and to identify algorithms particularly worthy of investigation in this field. Design/methodology/approach – The paper concentrates ex...

conclusions the results may help clinicians for early intervention and focus on related components of executive function to improve the educational performance of dcd children. knowing that executive function skills are associated with these two achievement domains suggests potentiality of targeted math and spelling interventions for dcd children. results the findings showed that components of ...

In this article, we carry out a combined econometric and multiobjective analysis using data from representative sample of Andalusian schools. particular, four models are estimated in which the students’ academic performance (scores math reading, percentage students reaching certain threshold both subjects, respectively) regressed against satisfaction with different aspects teaching-learning pro...

In order to approximate the set of Pareto optimal solutions, several evolutionary multi-objective optimization (EMO) algorithms transfer the multiobjective problem into several independent single-objective ones by means of scalarizing functions. The choice of the scalarizing functions’ underlying search directions, however, is typically problem-dependent and therefore difficult if no informatio...