A Constraint Adaptive Multi-Tasking Differential Evolution Algorithm: Designed for Dispatch of Integrated Energy System in Coal Mine Article Swipe
Canyun Dai
,
Xiaoyan Sun
,
Hejuan Hu
,
Zhang Yon
,
Dunwei Gong
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.26599/tst.2023.9010067
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.26599/tst.2023.9010067
The dispatch of integrated energy systems in coal mines (IES-CM) with mine-associated supplies is vital for efficient energy utilization and carbon emissions reduction. However, IES-CM dispatch is highly challenging due to its feature as multi-objective and strong multi-constraint. Existing constrained multi-objective evolutionary algorithms often fall into locally feasible domains with poorly distributed Pareto front, which greatly deteriorates dispatch performance. To tackle this problem, we transform the traditional dispatch model of IES-CM into two tasks: the main task with all constraints and the helper task with constraint adaptive. Then we propose a constraint adaptive multi-tasking differential evolution algorithm (CA-MTDE) to optimize these two tasks effectively. The helper task with constraint adaptive is developed to obtain infeasible solutions near the feasible domain. The purpose of this infeasible solution is to transfer guiding knowledge to help the main task move away from local search. Additionally, a dynamic dual-learning strategy using DE/current-to-rand/1 and DE/current-to-best/1 is developed to maintain task diversity and convergence. Finally, we comprehensively evaluate the performance of CA-MTDE by applying it to a coal mine in Shanxi Province, considering two IES-CM scenarios. Results demonstrate the feasibility of CA-MTDE and its ability to generate a Pareto front with exceptional convergence, diversity, and distribution.
Related Topics
Concepts
Convergence (economics)
Differential evolution
Constraint (computer-aided design)
Computer science
Mathematical optimization
Pareto principle
Task (project management)
Feature (linguistics)
Algorithm
Engineering
Mathematics
Linguistics
Economics
Systems engineering
Philosophy
Economic growth
Mechanical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.26599/tst.2023.9010067
- OA Status
- diamond
- Cited By
- 13
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386920510
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4386920510Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.26599/tst.2023.9010067Digital Object Identifier
- Title
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A Constraint Adaptive Multi-Tasking Differential Evolution Algorithm: Designed for Dispatch of Integrated Energy System in Coal MineWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-09-21Full publication date if available
- Authors
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Canyun Dai, Xiaoyan Sun, Hejuan Hu, Zhang Yon, Dunwei GongList of authors in order
- Landing page
-
https://doi.org/10.26599/tst.2023.9010067Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.26599/tst.2023.9010067Direct OA link when available
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Convergence (economics), Differential evolution, Constraint (computer-aided design), Computer science, Mathematical optimization, Pareto principle, Task (project management), Feature (linguistics), Algorithm, Engineering, Mathematics, Linguistics, Economics, Systems engineering, Philosophy, Economic growth, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 7, 2024: 6Per-year citation counts (last 5 years)
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39Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | Tsinghua University Press |
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| primary_location.raw_source_name | Tsinghua Science and Technology |
| primary_location.landing_page_url | https://doi.org/10.26599/tst.2023.9010067 |
| publication_date | 2023-09-21 |
| publication_year | 2023 |
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