Honda Motor Co., Ltd. (20240330406). 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 20240330406 titled 'INFORMATION-PROCESSING DEVICE, INFORMATION-PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation: The patent application describes a method for information processing where new individuals are generated by changing values of explanatory variables based on probabilities and fitness degrees.
- Individuals are selected from a current generation data set and their values are modified to target values based on other individuals.
- Another set of individuals have their values changed to different values based on probabilities.
- The next generation data set is selected based on fitness degrees calculated from the explanatory variable groups of each individual.
Key Features and Innovation:
- Generation of new individuals by modifying values of explanatory variables.
- Selection based on probabilities and fitness degrees.
- Utilization of target values and different values for generating new individuals.
Potential Applications: The technology can be applied in various fields such as genetic algorithms, optimization problems, and evolutionary computing.
Problems Solved: The method addresses the need for efficient information processing and generation of diverse individuals in a data set.
Benefits:
- Improved data processing efficiency.
- Enhanced diversity in data sets.
- Increased adaptability in evolutionary algorithms.
Commercial Applications: Potential commercial applications include data analytics, machine learning, and optimization software tools for industries like finance, healthcare, and logistics.
Prior Art: Researchers can explore prior art related to genetic algorithms, evolutionary computing, and optimization methods for similar approaches.
Frequently Updated Research: Stay updated on advancements in genetic algorithms, evolutionary computing, and optimization techniques for information processing.
Questions about Information Processing: 1. How does the method ensure diversity in the generated individuals? 2. What are the implications of using fitness degrees in selecting the next generation data set?
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 three 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 fitness degree calculated from an explanatory variable group for each individual, wherein an explanatory variable having a value defined by a combination condition is set to take a value represented by one of a plurality of combinations constituted of a plurality of values determined in advance.
