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Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Updated: Sep 13, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV

Heming Jia1, Mahmoud Abdel-Salam2, Gang Hu3

  • 1School of Information Engineering, Sanming University, Sanming 365004, China.

Biomimetics (Basel, Switzerland)
|July 25, 2025
PubMed
Summary
This summary is machine-generated.

The Adaptive Cross Ivy (ACIVY) algorithm enhances optimization by improving population diversity and local optima escape. It outperforms existing methods in complex engineering and path planning tasks.

Keywords:
Ivy optimization algorithmUAV path planningadaptive mutationcomplex engineering

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Area of Science:

  • Computational Intelligence
  • Metaheuristic Optimization
  • Bio-inspired Algorithms

Background:

  • The original Ivy Optimization Algorithm (IVYA) has limitations in information exchange and escaping local optima.
  • Complex optimization problems require advanced algorithms for efficient and accurate solutions.

Purpose of the Study:

  • To introduce the Adaptive Cross Ivy (ACIVY) algorithm, an enhanced bio-inspired metaheuristic.
  • To address the limitations of the IVYA algorithm through strategic improvements.

Main Methods:

  • ACIVY integrates crisscross, LightTrack, and Top-Guided Adaptive Mutation strategies.
  • Evaluations were conducted on CEC2017 and CEC2022 benchmark suites.
  • Practical applications included engineering design and UAV path planning.

Main Results:

  • ACIVY demonstrated superior performance compared to state-of-the-art algorithms on diverse functions.
  • Achieved excellent average rankings: 1.25 (CEC2022) and 1.41 (CEC2017 50D).
  • Validated through Wilcoxon signed-rank tests and real-world engineering problems.

Conclusions:

  • ACIVY offers enhanced population diversity and effective local optima escape.
  • The algorithm provides superior convergence precision, reliability, and computational efficiency.
  • ACIVY is a powerful tool for complex optimization challenges in various domains.