Research on optimization model of marine industry strategic adjustment under complex maritime conditions based on ant colony algorithm

• Autorzy: Shen X.

Identyfikatory

DOI

10.2478/pomr-2018-0088

• Języki publikacji: EN

Abstrakty

EN

This article seeks to analyze the factors constraining the development of strategic marine emerging industries and the deficiencies in China’s strategic marine emerging industry development policies. Learn from the successful experiences of overseas strategic marine emerging industry development policies. We will study and construct a policy framework for the development of strategic marine emerging industries in the new era, guided by the scientific concept of development and enhanced by the capacity of independent innovation. Provide policy recommendations for actively promoting the development of strategic marine emerging industries. At the same time, it provides theoretical and methodological reference for the formulation and implementation of China’s strategic marine emerging industry policies. On the basis of reviewing relevant theories of industrial policy, this article first defines China’s strategic emerging industries and clarifies the connotation of China’s strategic marine emerging industry development policies. Then, the paper conducts detailed analysis on the development policies of strategic marine emerging industries at home and abroad, and summarizes the experience of overseas strategic development policies for marine emerging industries. Finally, combining the above-mentioned comprehensive analysis, with the guidance of the scientific concept of development, the development strategy and concrete development policy of China’s strategic emerging industries in the ocean are proposed.

Słowa kluczowe

EN

ant colony algorithm; complex maritime; marine industry strategy

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2018
• Tom: S 2
• Strony: 164--169
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Shen X.

• School of Business, Xinyang Normal University, Xinyang, Henan , China

Bibliografia

• 1. Semenov I.: The multidimensional approach to marine industry development: Part I. Obstacles and willingness to the EU marine industry reengineering, Polish Maritime Research, Vol.15, no.3, pp. 77-85, 2008.
• 2. Lazakis D.: Establishing an innovative and integrated reliability and criticality based maintenance strategy for the maritime industry, Cell, Vol.41, no.6, pp. 24-26, 2011.
• 3. Ludgate J J.: The Economic and Technical Impact of TBT Legislation on the USA Marine Industry, Applied and environmental microbiology, Vol.57, no.4, pp. 1194-1201, 1987.
• 4. Sanderson J.: Target identification in a complex maritime scene[C]// Motion Analysis and Tracking, Xplore, Vol.15, no.2, pp.1-4, 1999.
• 5. Zaidi F.: Maritime constellations: a complex network approach to shipping and ports, Maritime Policy & Management, Vol.39, no.2, pp. 151-168, 2012.
• 6. Sanderson J G, Teal T J.: Target identification in complex maritime scenes, Vol.21, no.2, pp. 463 - 467, 1997.
• 7. Sanderson J G, Teal M K.: Characterisation of a complex maritime scene using Fourier space analysis to identify small craft[C]// Image Processing and ITS Applications, Seventh International Conference on,Vol.17, no.2, pp. 803-807, 1999.
• 8. Bukhari A C, Kim Y G.: A research on an inteligent multipurpose fuzzy semantic enhanced 3D virtual reality simulator for complex maritime missions, Kluwer Academic Publishers, Vol.23, no.12, pp. 156-169, 2013.
• 9. Caschili S, Medda F R.: A Review of the Maritime Container Shipping Industry as a Complex Adaptive System, Interdisciplinary Description of Complex Systems, Vol.10, no.1, pp. 1-15, 2012.
• 10. Bukhari, Kim F A.: A research on an intelligent multipurpose fuzzy semantic enhanced 3D virtual reality simulator for complex maritime missions, Applied Intelligence, Vol.38, no.2, pp. 193-209, 2013
• 11. Rub M G, Toksubayeva G P, Chernov B S.: Composition and origin of a tungsten-bearing magmatic complex in an area of Soviet Maritime Province, International Geology Review, Vol.12, no.3, pp. 313-326, 1970.
• 12. Engineer F G, Furman K C, Nemhauser G L.: A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing, Operations Research, Vol.60, no.1, pp. 106-122, 2012.
• 13. Rajendran C, Ziegler H.: Ant-colony algorithms for permutation flowshop scheduling to minimize makespan/total flowtime of jobs, European Journal of Operational Research, Vol.155, no.2, pp. 426-438, 2004.
• 14. Shelokar P S, Jayaraman V K, Kulkarni B D.: An ant colony approach for clustering, Analytica Chimica Acta, Vol.509, no.2, pp. 187-195, 2004.
• 15. Liang Y C, Smith C E.: An ant colony optimization algorithm for the redundancy allocation problem, Transactions on Reliability, Vol.53, no.3, pp. 417-4233, 2004.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).