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Green Project Planning with Realistic Multi-Objective Consideration in Developing Sustainable Port

Author

Listed:
  • Wei Wang

    (College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China)

  • Jingjie Chen

    (Business School, Sichuan University, Chengdu 610065, China)

  • Qi Liu

    (Business School, Sichuan University, Chengdu 610065, China)

  • Zhaoxia Guo

    (Business School, Sichuan University, Chengdu 610065, China)

Abstract

Implementing green projects is critical to achieve the green and sustainable development goal. This paper investigates a green project planning with the realistic consideration of multiple objectives including minimizing the total cost and maximizing the total emission reduction. The realistic multi-objective problem in engineering optimization aims to find a best solution for real-world use instead of finding a set of Pareto-optimal solutions. To handle this problem, we develop a weight sets-based multi-objective evolutionary optimization approach to find the best solution for realistic use. The approach integrates a single-objective evolutionary optimization process, novel solution encoding and decoding heuristics, and a non-dominated sort technique. Based on real-world data from a seaport in China, experiments were conducted to validate the proposed optimization approach. Results show that the proposed approach can effectively solve the real-world multi-objective green project planning problem because the solution found by our approach is one of the Pareto optimal solutions generated by the NSGA-II.

Suggested Citation

  • Wei Wang & Jingjie Chen & Qi Liu & Zhaoxia Guo, 2018. "Green Project Planning with Realistic Multi-Objective Consideration in Developing Sustainable Port," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2385-:d:157020
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    Cited by:

    1. Izabela Kotowska & Marta Mańkowska & Michał Pluciński, 2018. "Inland Shipping to Serve the Hinterland: The Challenge for Seaport Authorities," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    2. Jianmin Jia & Chenhui Liu & Tao Wan, 2019. "Planning of the Charging Station for Electric Vehicles Utilizing Cellular Signaling Data," Sustainability, MDPI, vol. 11(3), pages 1-16, January.
    3. Qi Liu & Jiahao Liu & Dunhu Liu, 2018. "Intelligent Multi-Objective Public Charging Station Location with Sustainable Objectives," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    4. Zhaoxia Guo & Weiwei Le & Youkai Wu & Wei Wang, 2019. "A Multi-Step Approach Framework for Freight Forecasting of River-Sea Direct Transport without Direct Historical Data," Sustainability, MDPI, vol. 11(15), pages 1-15, August.
    5. Dorota Kuchta & Ewa Marchwicka & Jan Schneider, 2021. "Sustainability-Oriented Project Scheduling Based on Z-Fuzzy Numbers for Public Institutions," Sustainability, MDPI, vol. 13(5), pages 1-17, March.

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