Titlebook: Evolutionary Multi-Criterion Optimization; 9th International Co Heike Trautmann,Günter Rudolph,Christian Grimme Conference proceedings 2017

可用

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems,t role in the decision making process. For such problems, it is computationally expensive or even intractable to approximate the entire set of optimal solutions. An alternative is to compute a subset of optimal solutions based on the preferences of the decision maker. Commonly, interactive methods f

Oversee

A Note on the Detection of Outliers in a Binary Outranking Relation,her elements and are likely to influence the outcomes of the considered method. We propose a model based on the distance introduced by De Smet and Montano and extend it to different samplings of the set of alternatives (which are used as a comparison basis). This leads to study the distribution of d

Nonthreatening

OTTER

Weighted Stress Function Method for Multiobjective Evolutionary Algorithm Based on Decomposition,dressed when applying MOEA/D are the choice of an appropriate scalarizing function and setting the values of main control parameters. This study suggests a weighted stress function method (WSFM) for fitness assignment in MOEA/D. WSFM establishes analogy between the stress-strain behavior of thermopl

舊石器時(shí)代

meditation

,On the Influence of Altering the Action Set on PROMETHEE II’s Relative Ranks,nown as rank reversal. In this contribution, we formalise rank reversal for the . method. The aim is not to debate about the legitimacy of such effect but rather to derive the exact conditions for its occurrence when one or more actions are added or removed from/to the original set. These conditions

走調(diào)

CRUMB

A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering,alability of such an approach, however, is a topic which merits more attention given the unprecedented volumes of data generated nowadays. This paper proposes a reduced-length representation for evolutionary multiobjective clustering. The new encoding explicitly prunes the solution space and allows

揉雜

Afflict