Honda Motor Co., Ltd. (20240330405). INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM simplified abstract
Contents
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
Atsushi Yamamoto of Wako-shi (JP)
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240330405 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation: The patent application describes a method for information processing that involves generating new individuals by changing values of explanatory variables based on probabilities and fitness calculations.
- Individuals in a current generation data set have their values altered to match those of other individuals or to different values.
- New individuals are selected for the next generation based on their fitness, determined by the values of their explanatory variables.
- Explanatory variables are restricted to predetermined ranges.
Key Features and Innovation:
- Generation of new individuals by altering values of explanatory variables based on probabilities.
- Selection of individuals for the next generation based on fitness calculated from explanatory variable values.
- Use of predetermined ranges for explanatory variable values.
Potential Applications: This method could be applied in fields such as genetic algorithms, optimization problems, and machine learning.
Problems Solved:
- Efficient generation of new individuals in information processing.
- Improved selection process for the next generation based on fitness calculations.
Benefits:
- Enhanced optimization and problem-solving capabilities.
- Streamlined information processing methods.
- Increased efficiency in generating new individuals for further analysis.
Commercial Applications: Potential commercial applications include algorithm development for optimization problems, genetic algorithm research, and machine learning model training.
Prior Art: Prior art related to this technology may include research on genetic algorithms, optimization methods, and machine learning algorithms.
Frequently Updated Research: Stay updated on advancements in genetic algorithms, optimization techniques, and machine learning algorithms to enhance the efficiency of information processing methods.
Questions about Information Processing: 1. How does this method improve the efficiency of generating new individuals in information processing? 2. What are the potential real-world applications of this technology in various industries?
Original Abstract Submitted
an information processing method executed by an information processing device includes: generating a new individual by changing a value of part of explanatory variables of an individual selected with a first probability from current generation data, which has n individuals (n is an integer of two or more) and in which each individual is an explanatory variable group having a plurality of explanatory variables, to a target value based on a value of a corresponding explanatory variable of another individual; generating a new individual by changing a value of part of explanatory variables of an individual selected with a second probability from the current generation data to another value; and selecting n individuals of next generation data from the n individuals and the generated individual based on a degree of fitness calculated from an explanatory variable group for each individual, wherein the explanatory variable is set to take a value within a predetermined range determined in advance.