Solar PV parameter estimation using multi-objective optimisation

Parameter Identification of Autonomous Vehicles Using Multi-objective Optimisation

In order to properly operate an autonomous vehicle navigation system, it is important that the vehicle and sensor models of an autonomous vehicle are defined by an accurate parameter set. This paper presents a technique for identifying parameters of an autonomous vehicle using multi-objective optimisation, which enables the identification process without introducing additional parameters. A mul...

Multi-objective optimisation using the Bees Algorithm

This paper describes the first application of the Bees Algorithm to multi-objective optimisation problems. The Bees Algorithm is a search procedure inspired by the way honey bees forage for food. A standard mechanical design problem, the design of a welded beam structure, was used to benchmark the Bees Algorithm. The results obtained show the robust performance of the Bees Algorithm.

Phylogenetic Inference using Evolutionary Multi-objective Optimisation

Evolutionary relationships among species are usually (i) illustrated by means of a phylogenetic tree and (ii) inferred by optimising some measure of fitness, such as the total evolutionary distance between species or the likelihood of the tree (given a model of the evolutionary process and a data set). The combinatorial complexity of inferring the topology of the best tree makes phylogenetic in...

Multi-objective Binary Search Optimisation

Multi-objective Optimization of PV-SOFC-GT-Electrolyser Hybrid System

This study shows the design of a new hybrid power generation system, photovoltaic panel (PV)–coupled solid oxide fuel cell (SOFC) and gas turbine (GT)–electrolyser. Three objectives (cost, pollutant emissions, and reliability), which are usually in conflict, are considered simultaneously. The design of a hybrid system, considering the three mentioned objectives, poses a very complex problem of o...