Performance indicators in multiobjective optimization

نویسندگان

چکیده

In recent years, the development of new algorithms for multiobjective optimization has considerably grown. A large number performance indicators been introduced to measure quality Pareto front approximations produced by these algorithms. this work, we propose a review total 63 partitioned into four groups according their properties: cardinality, convergence, distribution and spread. Applications are presented as well.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization

This paper fundamentally investigates the performance of evolutionary multiobjective optimization (EMO) algorithms for computationally hard 0–1 combinatorial optimization, where a strict theoretical analysis is generally out of reach due to the high complexity of the underlying problem. Based on the examination of problem features from a multiobjective perspective, we improve the understanding ...

متن کامل

Learning in Multiobjective Optimization

Our vision is for a seminar that encourages the free exchange of ideas around the organizing subject of learning in MCDM and multiobjective optimization. The following programme provides a skeleton of activities we propose. Participants should suggest amendments to this programme as the week progresses. We encourage the spontaneous formation of working and discussion groups among the participan...

متن کامل

Multiobjective Optimization

return on his or her investment with a small risk of incurring a loss; an oncologist prescribes radiotherapy to a cancer patient so as to destroy the tumor without causing damage to healthy organs; an airline manager constructs schedules that incur small salary costs and that ensure smooth operation even in the case of disruptions. All three decision makers (DMs) are in a similar situation—they...

متن کامل

Orthogonality in multiobjective optimization

Abs t rac t -P roper t i e s of nonlinear multiobjective problems implied by the Karush-Kuhn-Tucker necessary conditions are investigated. It is shown that trajectories of Lagrange multipliers corresponding to the components of the vector cost function are orthogonal to the corresponding trajectories of vector deviations in the balance space (to the balance set for Pareto solutions). ~) 2003 El...

متن کامل

A novel elitist multiobjective optimization algorithm: Multiobjective extremal optimization

Recently, a general-purpose local-search heuristic method called Extremal Optimization (EO) has been successfully applied to some NP-hard combinatorial optimization problems. This paper presents an investigation on EO with its application in multiobjective optimization and proposes a new novel elitist (1+ λ ) multiobjective algorithm, called Multiobjective Extremal Optimization (MOEO). In order...

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

ژورنال

عنوان ژورنال: European Journal of Operational Research

سال: 2021

ISSN: ['1872-6860', '0377-2217']

DOI: https://doi.org/10.1016/j.ejor.2020.11.016