A sequential multiobjective optimization tool designed to manage on line a set of varied algorithms

• Autorzy: Rodon A. , Collette Y. , Siarry P.
• Języki publikacji: EN

Abstrakty

EN

We present a new sequential multiobjective optimization tool, called SMO, aimed at automatically choosing the most appropriate optimization method to be applied in order to solve a given problem. To make such choices, our program studies the structure of the set of found solutions in objective function space, using a new set of metrics : in particular, we use the Pareto ratio to determine how the solutions are placed in objective function space in relation to the Pareto surface, a correlation metric to compare the shapes of the practical and theoretical Pareto surfaces, and the "segment-dominance metric" to study the convexity of those surfaces. Some tests on academic benchmark problems are presented in this paper. A work under development is the application of SMO to a particular problem, namely the working out of the nuclear fuel loading patterns in pressurized water reactors, which is a difficult combinatorial multiobjective optimization problem.

Słowa kluczowe

EN

sequential multiobjective optimization

PL

optymalizacja wielokryterialna

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2003
• Tom: Vol. 28, No. 4
• Strony: 247--271
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Rodon A.

autor

Collette Y.

autor

Siarry P.

• Tel : [phone] - Fax: [phone] EdF Pole Industrie - RNE / PhR - 1, av. du General de Gaulle, 92141 Clamart, France