Boxing Match Algorithm: a new meta-heuristic algorithm

Tanhaeean, Mehrab; Tavakkoli–Moghaddam, Reza; Akbari, Amir Hosein

doi:10.1007/s00500-022-07518-6

Cited by 12 publications

(2 citation statements)

References 71 publications

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“…Future studies can address the use of lateral collaboration. Given the high computational complexity of the presented mathematical model resulting from a combination of binary and continuous variables, the development of new exact solution methods, such as the benders decomposition algorithm (Reddy et al, 2022 ) or new meta-heuristic algorithms (Hashim et al, 2022 ; Tanhaeean et al, 2022 ) for the presented model can be an attractive research topic.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration

Saffari

Abbasi

Gheidar-Kheljani

2023

Environ Dev Sustain

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Optimizing the strategic and tactical decisions regarding sustainability and resilience is important because they affect the performance of the supply chain over a long period. This study proposes a new multi-objective model for resilient, sustainable, and responsive forward/reverse logistics network design considering cost, social responsibility, CO 2 emission, water consumption, responsiveness time, and collaboration risk. The most significant impacts on costs are identified using the design of experiments, and a robust optimization method is applied to deal with operational risk. In addition, horizontal collaboration for the first time as a quantitative model is suggested to deal with the disruption risk. Also, a multi-objective solving algorithm with a new aggregation model is developed, and the efficiency of the proposed solution method is shown. The analysis of results based on the iron and steel industries shows the efficiency of resilience strategies and the improvement of costs, sustainability and responsiveness indicators. Also, the findings demonstrate that collaboration has a higher performance than fortification. Finally, managers and supply chain decision-makers are provided with managerial implications to make more effective decisions about the supply chain network design, technology selection, supply chain sustainability, and collaborators selection, using the presented results.

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Section: Conclusion and Future Researchmentioning

confidence: 99%

A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration

Saffari

Abbasi

Gheidar-Kheljani

2023

Environ Dev Sustain

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“…Economic development and the strengthening of national power have gradually made China a sporting powerhouse, and the informatization and modernization of sports management has increasingly become an important need for the development of the sports industry [1][2]. The influence of sports modernisation on competition performance is also becoming more and more evident in today's sports competitions [3].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Statistical Evaluation System for Boxing Referees Based on Convolutional Neural Networks

Chen

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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In boxing, as the referee makes decisions through punting, a referee evaluation system allows for adequate analysis of the vast amount of punting data. The aim of this paper is to study a comprehensive statistical assessment system for boxing referees based on convolutional neural networks. The concept of comprehensive statistical assessment of referees is proposed and a data warehouse for comprehensive statistical assessment of referees is established. A multi-dimensional data query analysis is realised. Development of a video retrieval module for boxing systems using video retrieval technology. LeNet-5 convolutional neural network-based recognition of athlete's punching situation is proposed. The different effects of the learning rate on the recognition effect are then investigated, and it is experimentally demonstrated that the best results are obtained at a learning rate of 0.001.

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Improved Harris hawk algorithm based on multi-strategy synergy mechanism for global optimization

Wei,

Shi,

Feng

et al. 2024

Soft Comput

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Boxing Match Algorithm: a new meta-heuristic algorithm

Cited by 12 publications

References 71 publications

A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration

A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration

A Comprehensive Statistical Evaluation System for Boxing Referees Based on Convolutional Neural Networks

Improved Harris hawk algorithm based on multi-strategy synergy mechanism for global optimization

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