Evidence map›Paper›PMID 37754137›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Golf Optimization Algorithm: A New Game-Based Metaheuristic Algorithm and Its Application to Energy Commitment Problem Considering Resilience.

Zeinab Montazeri, Taher Niknam, Jamshid Aghaei, Om Parkash Malik, Mohammad Dehghani, Gaurav Dhiman

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zeinab MontazeriDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 7155713876, Iran.
Taher NiknamDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 7155713876, Iran.
Jamshid AghaeiSchool of Engineering & Technology, Central Queensland University, Rockhampton 4701, Australia.
Om Parkash MalikDepartment of Electrical and Software Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.ORCID 0000-0003-4925-1276
Mohammad DehghaniDepartment of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 7155713876, Iran.
Gaurav DhimanDepartment of Electrical and Computer Engineering, Lebanese American University, Byblos 13-5053, Lebanon.ORCID 0000-0002-6343-5197

Funding

Natural Sciences and Engineering Research Council NSERC, Canada, research grant
6 · The paper itself

Abstract

In this research article, we uphold the principles of the No Free Lunch theorem and employ it as a driving force to introduce an innovative game-based metaheuristic technique named Golf Optimization Algorithm (GOA). The GOA is meticulously structured with two distinctive phases, namely, exploration and exploitation, drawing inspiration from the strategic dynamics and player conduct observed in the sport of golf. Through comprehensive assessments encompassing fifty-two objective functions and four real-world engineering applications, the efficacy of the GOA is rigorously examined. The results of the optimization process reveal GOA's exceptional proficiency in both exploration and exploitation strategies, effectively striking a harmonious equilibrium between the two. Comparative analyses against ten competing algorithms demonstrate a clear and statistically significant superiority of the GOA across a spectrum of performance metrics. Furthermore, the successful application of the GOA to the intricate energy commitment problem, considering network resilience, underscores its prowess in addressing complex engineering challenges. For the convenience of the research community, we provide the MATLAB implementation codes for the proposed GOA methodology, ensuring accessibility and facilitating further exploration.

Indexed as

energyenergy carriersexploitationexplorationgame-basedgolfmetaheuristic algorithmoptimizationreal-world applicationsresilience

Identifiers

PMID37754137
PMCPMC10526449

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.