Name
Title | ||
|---|---|---|
Polymer: A model-driven approach for simpler, safer, and evolutive multi-objective optimization development |
Abstract | ||
|---|---|---|
Multi-Objective Evolutionary Algorithms (MOEAs) have been successfully used to optimize various domains such as finance, science, engineering, logistics and software engineering. Nevertheless, MOEAs are still very complex to apply and require detailed knowledge about problem encoding and mutation operators to obtain an effective implementation. Software engineering paradigms such as domain-driven design aim to tackle this complexity by allowing domain experts to focus on domain logic over technical details. Similarly, in order to handle MOEA complexity, we propose an approach, using model-driven software engineering (MDE) techniques, to define fitness functions and mutation operators without MOEA encoding knowledge. Integrated into an open source modelling framework, our approach can significantly simplify development and maintenance of multi-objective optimizations. By leveraging modeling methods, our approach allows reusable optimizations and seamlessly connects MOEA and MDE paradigms. We evaluate our approach on a cloud case study and show its suitability in terms of i) complexity to implement an MOO problem, ii) complexity to adapt (maintain) this implementation caused by changes in the domain model and/or optimization goals, and iii) show that the efficiency and effectiveness of our approach remains comparable to ad-hoc implementations. |
Year | Venue | Keywords |
|---|---|---|
2015 | MODELSWARD 2015 PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT | Multi-objective Evolutionary Algorithms,Optimization,Genetic Algorithms,Model-driven Engineering |
Field | DocType | Citations |
Evolutionary algorithm,Model-driven architecture,Computer science,Business logic,Theoretical computer science,Multi-objective optimization,Implementation,Genetic algorithm,Domain model,Cloud computing | Conference | 3 |
PageRank | References | Authors |
0.44 | 10 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Assaad Moawad | 1 | 31 | 5.37 |
| Thomas Hartmann 0001 | 2 | 45 | 8.08 |
| François Fouquet | 3 | 117 | 15.16 |
| Gregory Nain | 4 | 259 | 16.56 |
| Jacques Klein | 5 | 2498 | 112.20 |
| Johann Bourcier | 6 | 137 | 16.69 |