Abstract
Meta-heuristics have been widely used in both science and industry as reliable alternatives to conventional optimization algorithms to solve challenging, real-world problems. Despite being general-purpose and having a black-box nature, they require changes to solve multi-objective optimization problems. This paper proposes a multi-objective version of harmony search based on the archive. Archive, grid, and leader selection mechanisms are applied in multi-objectives of HS. Five real-engineering problems are evaluated with the results of three indexes. Based on the results, the AMHS is capable of providing acceptable results than other alternatives.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes on Data Engineering and Communications Technologies |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 259-269 |
| Number of pages | 11 |
| DOIs | |
| Publication status | Published - 2022 |
Publication series
| Name | Lecture Notes on Data Engineering and Communications Technologies |
|---|---|
| Volume | 140 |
| ISSN (Print) | 2367-4512 |
| ISSN (Electronic) | 2367-4520 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
Keywords
- Harmony search
- Multi-objective harmony search
- Real-engineering problems
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