Abstract
This paper presents a population-based heuristic method – a real ant colony optimization (RACO) as a tool for multi-criteria optimization problems. The idea of multi-criteria optimization is discussed and the necessary modifications of RACO are proposed. These modifications made possible to use the method to simultaneously search many Pareto-optimal solutions. The method was numerically tested in problems of benchmark-type and used for solving simple engineering problems. This article presents and discusses all results obtained in tests, and two different approaches to multi-criteria optimization are additionally compared (search then decision and decision then search).
| Original language | English |
|---|---|
| Pages (from-to) | 255-265 |
| Number of pages | 11 |
| Journal | Computer Assisted Methods in Engineering and Science |
| Volume | 22 |
| Issue number | 3 |
| Publication status | Published - 2015 |
Keywords
- Multi-objective optimization
ASJC Scopus subject areas
- Computational Mechanics
- Mechanical Engineering
- Computer Science Applications
Fingerprint
Dive into the research topics of 'Real ant colony optimization as a tool for multi-criteria problems'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver