Many-objective evolutionary algorithm based agricultural mobile robot route planning

Review Computer Science, Interdisciplinary Applications

Evolutionary Many-Objective Algorithms for Combinatorial Optimization Problems: A Comparative Study

Reza Behmanesh et al.

Summary: This study tested 18 evolutionary many-objective algorithms on various combinatorial optimization problems, showing that different types of algorithms have different performances in solving different problems.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

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Article Computer Science, Artificial Intelligence

Multi-objective Route Planning for Underwater Cleaning Robot in Water Reservoir Tank

Mohd Saiful Azimi Mahmud et al.

Summary: This paper introduces a multi-objective approach in designing a Decision Support System for underwater cleaning robots, which utilizes Probabilistic Roadmap and genetic algorithm to determine the optimized cleaning paths. Comparisons with human operators have been conducted to demonstrate the significance of the Decision Support System in underwater tank cleaning.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2021)

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Review Green & Sustainable Science & Technology

Modeling and optimization of environment in agricultural greenhouses for improving cleaner and sustainable crop production

Yu Guo et al.

Summary: Resource-use efficiency and crop yield are important factors in agricultural greenhouse management. Using appropriate modeling methods can enhance control performance, design water and energy-saving strategies, and forecast extreme environments in advance, which can reduce pests and diseases and provide high-quality food. Interest in greenhouse modeling and optimization has increased significantly, and this study aims to provide guidance by reviewing 73 representative articles. It details approaches to improve greenhouse models, such as parameter identification, structure optimization, and multi-model integration, and highlights popular technologies and future trends, such as dynamic and neural network techniques and heuristic algorithms. Future valuable developments include deep learning, knowledge-data combinations, and coupling between greenhouse system elements.

JOURNAL OF CLEANER PRODUCTION (2021)

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Article Green & Sustainable Science & Technology

A System for Optimizing the Process of Straw Bale Retrieval

Mahdi Vahdanjoo et al.

Summary: This study aims to find the optimal traversal sequence of fieldwork tracks to minimize non-working driving distance during baling operation, improving efficiency by 12.9% compared to conventional methods.

SUSTAINABILITY (2021)

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Article Engineering, Multidisciplinary

Agricultural rout planning with variable rate pesticide application in a greenhouse environment

Umar Zangina et al.

Summary: The use of robotics in agriculture has increased productivity by automating tasks such as spraying and harvesting. Navigation strategies are essential for optimizing crop yield and quality. A study was conducted to enhance the autonomy of an agricultural mobile robot in a greenhouse farm, using an improved genetic algorithm to solve the vehicle routing problem efficiently.

ALEXANDRIA ENGINEERING JOURNAL (2021)

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Review Green & Sustainable Science & Technology