Abstract
The phenomenon of increasing greenhouse gases is the main problem causing climate change, in which emissions from transport vehicles contribute a significant part. Therefore, a research onto an optimization of transport activities and minimizing their impact has an important significance for scientific and practical. This study developed the African Wild Dog Optimization algorithm (AWDO) to optimize freight coordination with automatic updating of route data. Comparing results with previous studies highlights the effectiveness of the proposed method with high accuracy. The novel optimization algorithm promises to bring the most optimal solution to the government in coordinating traffic as well as supporting to manage cargo transport in the most scientific and fuel-efficient way.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Afrapoli AM et al (2019) A multiple objective transportation problem approach to dynamic truck dispatching in surface mines. Eur J Oper Res 276(1):331–342
Anson M et al (2019) Analytical models towards explaining the difficulty in efficiently matching site concrete supply resources with placing crew needs. In: Engineering, construction and architectural management
Cheng M-Y, Tran D-H (2015) Integrating chaotic initialized opposition multiple-objective differential evolution and stochastic simulation to optimize ready-mixed concrete truck dispatch schedule. J Manage Eng 32(1):04015034
Faris H et al (2018) An efficient binary salp swarm algorithm with crossover scheme for feature selection problems. Knowl-Based Syst 154:43–67
Hsiao W-T et al (2011) A hybrid optimization mechanism used to generate truck fleet to perform earthmoving operations. In: Road materials and new innovations in pavement engineering, pp 151–159
Mayteekrieangkrai N, Wongthatsanekorn W (2015) Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm. Songklanakarin J Sci Technol 37(2):221–230
Mirjalili S (2015) The ant lion optimizer. Adv Eng Softw 83:80–98
Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67
Mirjalili S et al (2014) Grey wolf optimizer. Adv Eng Softw 69:46–61
Mirjalili SZ et al (2018) Grasshopper optimization algorithm for multi-objective optimization problems. Appl Intell 48(4):805–820
Sarkar D et al (2019) Optimization of ready mixed concrete delivery for commercial batching plants of Ahmedabad, India. Int J Constr Manage 1–20
Subtil RF et al (2011) A practical approach to truck dispatch for open pit mines. In: 35th APCOM symposium
Thanos E et al (2019) Dispatch and conflict-free routing of capacitated vehicles with storage stack allocation. J Oper Res Soc 1–14
Yan S et al (2011) Optimal schedule adjustments for supplying ready mixed concrete following incidents. Autom Constr 20(8):1041–1050
Zhang X et al (2019) Optimization of truck appointments in container terminals. Maritime Econ Logistics 21(1):125–145
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Son, P.V.H., Khoi, T.T. (2020). Development of Africa Wild Dog Optimization Algorithm for Optimize Freight Coordination for Decreasing Greenhouse Gases. In: Reddy, J., Wang, C., Luong, V., Le, A. (eds) ICSCEA 2019. Lecture Notes in Civil Engineering, vol 80. Springer, Singapore. https://doi.org/10.1007/978-981-15-5144-4_85
Download citation
DOI: https://doi.org/10.1007/978-981-15-5144-4_85
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5143-7
Online ISBN: 978-981-15-5144-4
eBook Packages: EngineeringEngineering (R0)