Preference-based evolutionary multi-objective optimization in ship weather routing

A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

In this paper, we discuss the idea of incorporating preference information into evolutionary multi-objective optimization and propose a preference-based evolutionary approach that can be used as an integral part of an interactive algorithm. One algorithm is proposed in the paper. At each iteration, the decision maker is asked to give preference information in terms of his or her reference point...

Evolutionary Multi-Objective Robust Optimization

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Classical evolutionary multi-objective optimization algorithms aim at finding an approximation of the entire set of Pareto optimal solutions. By considering the preferences of a decision maker within evolutionary multi-objective optimization algorithms, it is possible to focus the search only on those parts of the Pareto front that satisfy his/her preferences. In this paper, an extended prefere...

Group Preference-based Evolutionary Multi-objective Optimization with Non-Equally Important Decision Makers_Ap

Recently, Evolutionary Multi-objective Optimization (EMO) researchers have addressed the task of incorporating Decision Maker’s (DM’s) preferences in EMO Algorithms (EMOAs) in order to guide the search towards the preferred region of the Pareto front which is called Region Of Interest (ROI). In fact, the DM is not interested in discovering the whole Pareto front especially with the increase of ...

A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE

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...