Set-based Multiobjective Fitness Landscapes: A Preliminary Study

07/18/2012
by   Sébastien Verel, et al.
0

Fitness landscape analysis aims to understand the geometry of a given optimization problem in order to design more efficient search algorithms. However, there is a very little knowledge on the landscape of multiobjective problems. In this work, following a recent proposal by Zitzler et al. (2010), we consider multiobjective optimization as a set problem. Then, we give a general definition of set-based multiobjective fitness landscapes. An experimental set-based fitness landscape analysis is conducted on the multiobjective NK-landscapes with objective correlation. The aim is to adapt and to enhance the comprehensive design of set-based multiobjective search approaches, motivated by an a priori analysis of the corresponding set problem properties.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/30/2018

New Methods of Studying Valley Fitness Landscapes

The word "valley" is a popular term used in intuitively describing fitne...
research
08/04/2022

HPO: We won't get fooled again

Hyperparameter optimization (HPO) is a well-studied research field. Howe...
research
07/06/2021

A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design

In the context of the introduction of intermittent renewable energies, w...
research
02/13/2019

A characterisation of S-box fitness landscapes in cryptography

Substitution Boxes (S-boxes) are nonlinear objects often used in the des...
research
06/28/2022

Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes

We use a multi-agent system to model how agents (representing firms) may...
research
12/06/2013

How Santa Fe Ants Evolve

The Santa Fe Ant model problem has been extensively used to investigate,...

Please sign up or login with your details

Forgot password? Click here to reset