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Hugh D. Livingston,William J. Jenkinsst functions and the experimental results show that the improved algorithm achieves the best results in several test functions. The algorithm is then applied to a path planning problem and the results show that the algorithm can help the robot to perform correct and efficient path planning.

記憶法

An Industrial Robot Path Planning Method Based on?Improved Whale Optimization Algorithmst functions and the experimental results show that the improved algorithm achieves the best results in several test functions. The algorithm is then applied to a path planning problem and the results show that the algorithm can help the robot to perform correct and efficient path planning.

gastritis

Blasphemy

沙文主義

Research on?Script-Based Software Component Developmentompilation principles on finite state machine (FSM) circuit module automation. It provides a methodological and empirical reference for programmers in the design and development of application systems using dynamic languages.

COWER

A Function Fitting System Based on Genetic Algorithmange of applications. When designing the function of fitting and analyzing a given function image, the genetic algorithm is used. With the application of ray detection in Unity, the closest expression of function fitting is obtained. At the same time, the line graph of fitness reduction during genetic algorithm iteration is given.

典型

Green, Pervasive, and Cloud Computing978-981-99-9893-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

秘密會議

https://doi.org/10.1007/978-4-431-68284-4he issue of repetitive work, software reuse techniques can be adopted to continually enhance the quality and efficiency of software development. Software reuse primarily involves reutilizing existing software knowledge during the software development process, effectively reducing maintenance costs i

PHAG

Gyre-Scale Reciprocal Acoustic Transmissionsire the design and distribution of deep neural network (DNN) models, which typically use large amounts of data and computing resources for training. As a result, DNN models are now considered important assets, but at great risk of being stolen and distributed illegally. In response to the new risks

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