Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm

Gong, Fanghai

doi:10.1155/2022/5178515

Cited by 4 publications

(5 citation statements)

References 24 publications

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“…A navigation approach using an Artificial Intelligence (AI) algorithm is developed to solve problems more quickly, accurate and reliable in optimization [100]. This approach has proven to be effective and is now widely used in autonomous navigation [9], [101], [102].…”

Section: Artificial Intelligence Approachmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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Automated Guided Vehicle (AGV) have received a lot of attention in recent years in terms of both hardware and software research. Nowadays, the AGV offer more adaptable and effective industrial and transportation system solutions. An AGV navigation techniques is essential to its operation. The decision to use AGV navigation is not simple, though to be suite to the application and sufficient. This paper survey the navigation approaches applied in AGV in the past five years of published academic research. In doing so, this work responds to three related questions: (1) is the AGV classical navigation techniques still relevant to the current application area; (2) is the heuristic navigation techniques itself able to optimize AGV movement in term of guide and strategy; (3) is the use of Artificial Intelligence (AI) in AGV navigation techniques able to increase system performance. As a result, numerous techniques for the AGV navigation have been developed globally. On the other hand, the most popular navigation approaches are provided below for more research.

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Section: Artificial Intelligence Approachmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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“…In this context, the output matrix of the hidden layer, denoted as G, allows for an advanced transformation of the expression: GB  = (11) where,…”

Section: Ai-driven Decision Model Development For E-commerce Operationsmentioning

confidence: 99%

“…These advancements have been instrumental in significantly enhancing the quality and efficiency of decisions [9,10]. Despite these developments, a comprehensive understanding of the precise application of these technologies in optimizing the structures of operational organizations and maximizing their effectiveness in actual operational decisions is yet to be fully realized, warranting further in-depth research [11][12][13][14][15]. The present study is undertaken with the objective of addressing these gaps, both theoretical and practical, aiming to contribute scientifically grounded strategies for augmenting operational efficiency in e-commerce and analogous organizations.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Operational Efficiency in E-Commerce Through Artificial Intelligence and Information Management Integration

Jiang

2023

RIA

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In the rapidly evolving domain of global e-commerce, operational organizations are increasingly grappling with unprecedented competitive pressures and challenges in operational efficiency. This study investigates the integration of artificial intelligence (AI) and information management as a transformative approach to augment operational efficiency in e-commerce organizations. The research delves into the optimization of organizational structures, leveraging the predictive capabilities of key information facilitated by AI. A novel decision-making model, integrating AI techniques, is developed to address the limitations inherent in existing decision-making technologies. The model's efficacy is demonstrated through a detailed case study of an e-commerce platform, where objectives and constraints for optimizing e-commerce operational organizations are meticulously constructed. The research identifies critical optimization points, including resource allocation, inventory management, logistics distribution, and customer relationship management. A distinctive organizational operation decision-making model, synergizing with the established Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), is proposed. This model focuses on optimizing variables pivotal to operational efficiency, with the dual goals of elevating efficiency and enhancing customer satisfaction. The findings underscore the significant role of AI technology in amplifying decision quality and boosting operational efficiency in e-commerce operational organizations, while also presenting potential applicability to a broader spectrum of organizational types.

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“…In addition, there is the genetic algorithm (GA) proposed by John Holland, which simulates the search for optimal solutions in natural evolutionary processes [18,19]. It is a computational model based on natural selection and genetics [20,21].…”

Section: Introductionmentioning

confidence: 99%

Non-Standard Map Robot Path Planning Approach Based on Ant Colony Algorithms

Li,

Kim,

2023

Sensors

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Robot path planning is an important component of ensuring the robots complete work tasks effectively. Nowadays, most maps used for robot path planning obtain relevant coordinate information through sensor measurement, establish a map model based on coordinate information, and then carry out path planning for the robot, which is time-consuming and labor-intensive. To solve this problem, a method of robot path planning based on ant colony algorithms after the standardized design of non-standard map grids such as photos was studied. This method combines the robot grid map modeling with image processing, bringing in calibration objects. By converting non-standard actual environment maps into standard grid maps, this method was made suitable for robot motion path planning on non-standard maps of different types and sizes. After obtaining the planned path and pose, the robot motion path planning map under the non-standard map was obtained by combining the planned path and pose with the non-standard real environment map. The experimental results showed that this method has a high adaptability to robot non-standard map motion planning, can realize robot path planning under non-standard real environment maps, and can make the obtained robot motion path display more intuitive and convenient.

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Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm

Cited by 4 publications

References 24 publications

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

Enhancing Operational Efficiency in E-Commerce Through Artificial Intelligence and Information Management Integration

Non-Standard Map Robot Path Planning Approach Based on Ant Colony Algorithms

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