Balanced Explore-Exploit clustering based Distributed Evolutionary Algorithm for Multi-objective Optimisation
نویسندگان
چکیده
منابع مشابه
A Study of Distributed Evolutionary Algorithms for Multi-objective Optimisation
Most popular Evolutionary Algorithms for single multi-objective optimisation are motivated by the reduction of the computation time and the resolution larger problems. A promising alternative is to create new distributed schemes that improve the behaviour of the search process of such algorithms. In the multi-objective optimisation problems, more exploration of the search space is required to o...
متن کاملMOCS: 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 کاملA Multi-Objective Evolutionary Algorithm for Portfolio Optimisation
The use of heuristic evolutionary algorithms to address the problem of portfolio optimisation has been well documented. In order to decide which assets to invest in and how much to invest, one needs to assess the potential risk and return of different portfolios. This problem is ideal for solving using a Multi-Objective Evolutionary Algorithm (MOEA) that maximises return and minimises risk. We ...
متن کاملAn Evolutionary Programming Algorithm for Multi-Objective Optimisation
This paper describes a new Evolutionary Programming optimisation algorithm and a method of its application to multi-objective optimisation problems. Computational results are presented demonstrating the algorithm’s ability to find Paretooptimal solutions for a real-world problem in radiofrequency component design.
متن کاملA Homogeneous Distributed Computing Framework for Multi-objective Evolutionary Algorithm
This paper proposes a homogeneous distributed computing (HDC) framework for multi-objective evolutionary algorithm (MOEA). In this framework, multiple processors divide a work into several pieces and carry them out in parallel. Every processor does its task in a homogeneous way so that the overall procedure becomes not only faster but also fault-tolerant and independent to the number of process...
متن کاملذخیره 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: Studies in Informatics and Control
سال: 2011
ISSN: 1220-1766,1841-429X
DOI: 10.24846/v20i2y201102