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Firefly algorithm driven intelligent system for multi-objective multimodal transportation optimization

delete2025-12-01
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OA
AI
T
T. K. Satish Kumar
K
Kapil Kumar
K
Kailash Dhanuk
A
A. K. Bhargava
M
M. K. Sharma *
DOI:10.1016/j.sasc.2025.200424delete
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摘要

摘要

En 中文
This paper presents an intelligent system based on the Firefly Algorithm (FA) designed to optimize the MultiObjective Multimodal Transportation System (MTS). The inherent complexity of MTS, stemming from the integration of road, rail, air, and sea transport modes, necessitates an efficient optimization strategy to minimize costs and adhere to time constraints. To address this complexity, a sophisticated methodology utilizing the Firefly Algorithm (FA) has been developed. The FA, inspired by the bioluminescent communication of fireflies, offers a robust solution through its ability to effectively explore and exploit the search space. The proposed methodology is fully implemented in MATLAB, making it a versatile and intelligent system. Users only need to input parameters such as the capacity of transport modes and the time taken by each mode, and the system outputs the cost in a solution space. Extensive case studies demonstrate the applicability of the FA in scenarios requiring cost reduction and strict schedule adherence. The performance of the FA is evaluated against other optimization methods, including the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Electron Radar Search Algorithm (ERSA), Grey Wolf Optimization (GWO), Teaching-Learning-Based Optimization (TLBO), and bruteforce methods. The results underscore the FA's superiority in terms of cost-efficiency, variability and time management, establishing it as a valuable tool for real-world transportation optimization. By demonstrating how the FA may improve the operational effectiveness of multimodal transportation networks, this study makes a substantial contribution to the fields of supply chain management and logistics. In the future, the proposed methodology can be further enhanced by incorporating additional constraints such as security of products, carbon emission into the MTS problem.
Keyword:
Optimization
Firefly algorithm (FA)
Multimodal transportation system (MTS)
Intelligent system
MATLAB
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期刊

S
Systems and Soft Computing
IF:
3.6
论文数:
90
被引数:
0

机构

U
University of Delhi
学者数:
638
论文数: 338
被引数: 5
C
chaudhary charan singh university
学者数:
56
论文数: 25
被引数: 0
引用论文

引用论文

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