An optimization spiking neural P system for approximately solving combinatorial optimization problems
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3705534
- Type
- D - Journal article
- DOI
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10.1142/S0129065714400061
- Title of journal
- International Journal of Neural Systems
- Article number
- 1440006
- First page
- -
- Volume
- 24
- Issue
- 5
- ISSN
- 0129-0657
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 92
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Membrane Computing develops and studies computational models, namely P Systems, that are highly parallelisable and have the computational power of a Turing Machine. This paper presents the first P System used for optimisation purposes, that is optimisation carried out by a computational model and not by an optimisation algorithm. This study opened a new research sub-field on P systems for optimisation. Two grants, including “Autonomous evolution design and modeling principles of problem-driven membrane computing models”, have been approved by National Natural Science Foundation of China on the basis of this work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
