A rigorous analysis of two bi-criteria problem families with scalable curvature of the pareto fronts

نویسنده

  • Michael Emmerich
چکیده

The problems presented and analyzed in this paper are interesting testproblems for multi-objective optimization. The aim is to find the distance to two points in a d-dimensional space. Closed analytical expressions of all pareto-optimal fronts and pareto-optimal sets will be derived in this paper. Moreover, a discussion of the characteristics of the properties of these sets is given. Depending on the formulation of the distance function, different structures of the pareto front and pareto optimal set can be obtained. Both are characterized by strong symmetries. Furthermore, the curvature of the pareto fronts can be scaled by means of a continuous parameter, ranging from extremely concave functions to extremely concave functions. Instead of giving a detailed introduction to multi-objective optimization in general, and pareto optimization in particular, we refer the interested reader to the text books by Deb [1] and Zitzler [2]. The book by Deb also contains standard benchmarks for bi-criteria optimization. The ZDT test-suite contains problems that are scalable in dimension. In addition, both concave and convex pareto fronts are included in the ZDT benchmark. However, neither the degree of curvature can be scaled for these functions, nor do these function provide an intuitive understanding of the objectives. Moreover, the functions are highly asymmetric. Thus, it would be interesting to derive some new test functions. We demand for families of test functions with: • Scalable degree of curvature of the pareto fronts • Simplicity, i. e. to allow for an intuitive understanding of the geometry of the function and solution sets • Scalability, i. e. it should be possible to formulate the functions for arbitrary search space dimensions With the EBN family of problems and the Generalized Schaffer problem we propose familes of test functions that meet the aforementioned conditions. The problems and their rigorous analysis will be presented next. We start with the discussion of the generalized Schaffer problem. Then we introduce the EBN family of functions and discuss it.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Efficient Bi-objective Genetic Algorithm for the Single Batch-Processing Machine Scheduling Problem with Sequence Dependent Family Setup Time and Non-identical Job Sizes

This paper considers the problem of minimizing make-span and maximum tardiness simultaneously for scheduling jobs under non-identical job sizes, dynamic job arrivals, incompatible job families,and sequence-dependentfamily setup time on the single batch- processor, where split size of jobs is allowed between batches. At first, a new Mixed Integer Linear Programming (MILP) model is proposed for t...

متن کامل

A hybrid DEA-based K-means and invasive weed optimization for facility location problem

In this paper, instead of the classical approach to the multi-criteria location selection problem, a new approach was presented based on selecting a portfolio of locations. First, the indices affecting the selection of maintenance stations were collected. The K-means model was used for clustering the maintenance stations. The optimal number of clusters was calculated through the Silhou...

متن کامل

An effective method based on the angular constraint to detect Pareto points in bi-criteria optimization problems

The most important issue in multi-objective optimization problems is to determine the Pareto points along the Pareto frontier. If the optimization problem involves multiple conflicting objectives, the results obtained from the Pareto-optimality will have the trade-off solutions that shaping the Pareto frontier. Each of these solutions lies at the boundary of the Pareto frontier, such that the i...

متن کامل

Maximum Load and Minimum Volume Structural Optimization

A bi-criteria optimization is considered whose objectives are the maximization of the load sustained by a structure and the minimization of the structure's volume. As the objectives are conflicting, the solution to the problem is of the Pareto type. The problem is elaborated for a thin-walled column of cruciform cross-section, prone to flexural and torsional buckling. A numerical example is als...

متن کامل

The Quasi-Normal Direction (QND) Method: An Efficient Method for Finding the Pareto Frontier in Multi-Objective Optimization Problems

In managerial and economic applications, there appear problems in which the goal is to simultaneously optimize several criteria functions (CFs). However, since the CFs are in conflict with each other in such cases, there is not a feasible point available at which all CFs could be optimized simultaneously. Thus, in such cases, a set of points, referred to as 'non-dominate' points (NDPs), will be...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005