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A Web-based System for Visualisation-driven Interactive Multi-objective Optimisation
Author(s) -
Jan Hettenhausen,
Andrew Lewis,
Timoleon Kipouros
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.05.176
Subject(s) - computer science , particle swarm optimization , set (abstract data type) , swarm behaviour , field (mathematics) , interactive visualization , visualization , interactive design , swarm intelligence , user interface , human–computer interaction , a priori and a posteriori , machine learning , artificial intelligence , philosophy , mathematics , epistemology , pure mathematics , programming language , operating system
Interactive Multi-Objective Optimisation is an increasing field of evolutionary and swarm intelligence-based algorithms. By involving a human decision, a set of relevant non-dominated points can often be acquired at significantly lower computational costs than with a posteriori algorithms. A rarely addressed issue in interactive optimisation is the design of efficient user interfaces and the application of interactive optimisation as a design tool in engineering applications. This paper presents advances in the design of user interaction and and user interfaces in combination with interactive multi-objective particle swarm optimisation algorithm. The case study used for this research is an actively investigated aeronautics engineering problem.Information Services, Information ServicesNo Full Tex

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