A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search

Towards Understanding Evolutionary Bilevel Multi-Objective Optimization Algorithm

A number of studies can be found in the context of bilevel single objective optimization problems, but not many exist, which tackle the bilevel multi-objective problems. Deb and Sinha (October, 2008) proposed a bilevel multi-objective optimization algorithm based on evolutionary multi-objective optimization (EMO) principles and discussed the issues involved in solving such a problem. In this pa...

A 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 ...

A location-allocation model in the multi-level supply chain with multi-objective evolutionary approach

In the current competitive conditions, all the manufacturers’ efforts are focused on increasing the customer satisfaction as well as reducing the production and delivery costs; thus, there is an increasing concentration on the structure and principles of supply chain (SC). Accordingly, the present research investigated simultaneous optimization of the total costs of a chain and customer satisfa...

Multi-objective Binary Search Optimisation

An 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.