An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation

نویسندگان
چکیده

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

An Improved Multi-objective Evolutionary Algorithm with the Hybrid Strategies

An improved multi-objective evolutionary algorithm with the hybrid strategies is presented in this paper for multi-objective optimization problems. The evolution process is divided into initial exploration stage, the middle feedback stage and the accelerating convergence stage by the amount of non-dominated individuals in the population. The hybrid strategies and adaptive population structure a...

متن کامل

MOCS: Multi-objective Clustering Selection Evolutionary Algorithm

In this paper, we describe a multi-objective evolutionary algorithm, that uses clustering selection and does not need any additional parameter like others. It clusters the population into a exible number of clusters employing x-means from [Pelleg and Moore, 2000]. First, the selective tness is assigned to clusters and in second place to individuals of clusters. We show three hybrid variants inc...

متن کامل

An Evolutionary Multi-Objective Local Selection Algorithm for Customer Targeting

In an increasingly competitive marketplace, one of the most interesting and challenging problems is how to identify and profile customers who are most likely to be interested in new products or services. At the same time, minimizing the number of variables used in the prediction task is important with large databases. In this paper we consider a novel application of evolutionary multiobjective ...

متن کامل

An evolutionary multi-objective optimization algorithm for portfolio selection problem

Cultural algorithms (CAs) are one of the metaheuristics which can be adapted in order to work in multiobjective optimization environments. On the other hand, portfolio selection problem (PSP) is a wellknow problem in literature. However, only a few articles have applied evolutionary multi-objective (EMO) algorithms to these problems and articles presenting CAs applied to the PSP have not been f...

متن کامل

Multi-objective Evolutionary Algorithms for Resource Allocation Problems

A resource allocation problem (RAP) is encountered in a variety of areas in operations research and management science. It is generally treated as a combinatorial optimization problem, where a limited amount of resources are to be allocated to certain number of competitive events in order to achieve the most effective allotment of the resources. An RAP usually contains a huge number of integer ...

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: IEEE Access

سال: 2018

ISSN: 2169-3536

DOI: 10.1109/access.2018.2877402