4.7 Article

A relaxed projection method for solving multiobjective optimization problems

期刊

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 256, 期 1, 页码 17-23

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2016.05.026

关键词

Multiple objective programming; Pareto optimality; Projected subgradient method

资金

  1. postdoctoral fellowship in the Postgraduate Program in Computer Science at the Federal University of Piaui - CAPES
  2. CNPq [301625-2008, 485205-2013]
  3. PRONEX-Optimization (FAPERJ/CNPq)
  4. PROPESQ/UFPI

向作者/读者索取更多资源

In this paper, we propose an algorithm for solving multiobjective minimization problems on nonempty closed convex subsets of the Euclidean space. The proposed method combines a reflection technique for obtaining a feasible point with a projected subgradient method. Under suitable assumptions, we show that the sequence generated using this method converges to a Pareto optimal point of the problem. We also present some numerical results. (C) 2016 Elsevier B.V. All rights reserved.

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