Earthwork Optimization in Road Construction Projects Using Linear Programming, Metaheuristic, Geographic Information System and Artificial Intelligence Approaches
Combining linear and mixed-integer programming, metaheuristic algorithms, Geographic Information Systems, and artificial intelligence can serve as an effective strategy for reducing cost and time, improving productivity, enhancing decision-making quality, and minimizing environmental impacts in road construction projects.
With the rapid advancement of agricultural modernization and the increasing demand for agricultural products, inefficient logistics distribution has become a major bottleneck in rural supply chains. This study addresses the capacitated vehicle routing problem (CVRP) in agricultural logistics. A genetic algorithm (GA)-b...
Ming-Fang Song, Kan Lu· Turkish Journal of Agricultu...· 0 citations
Recent algorithms such as The Pelican Optimization Algorithm, The Squirrel Search Optimization Algorithm, The Snow Leopard Optimization Algorithm and The Deer Hunting Optimization Algorithm have outperformed traditional metaheuristics in optimising known test functions, suggesting that they may offer promising improvem...
Matej Šuper, M. Gulić, L. Maglić et al.· TEM Journal· 0 citations
The management of complex infrastructure projects necessitates the simultaneous optimization of multiple competing objectives beyond the traditional time, cost, and quality triangle. This study proposes a seven-dimensional multiobjective scheduling framework integrating duration, cost, quality, resource leveling, env...
A. Mohy· Journal of construction engi...· 0 citations
This paper comprehensively sorts out the mainstream algorithm types in this field, and focuses on the analysis of various optimization and improvement schemes of the ant colony algorithm, the adaptation characteristics of different logistics scenarios, and the core performance advantages.
Bo-Wen Hu· Proceedings of the 4th Inter...· 0 citations
The increasing complexity of automotive production systems, driven by mass customization, the transition from internal combustion engine vehicles to electric vehicles, competitive markets, and cost pressure, has intensified the need for advanced optimization across production and intralogistics planning. Optimization r...
Felicia Schweitzer, Lars Habel, Sigrid Wenzel· Applied Sciences· 0 citations
The proposed Enhanced Human Urbanization Algorithm (EHUA) provides an effective and scalable optimization framework for complex benchmark problems and cloud task scheduling applications and maintains favorable trade-offs among individual objectives as the workload increases.
Zheming Zhang, Fan Liu· Mathematics· 0 citations
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