2008Unpublished venueRequires access

Research of Genetic Algorithm in function optimization based on HCI

Fanlin Meng, Shunxiang Wu

Open publisher page 2 citations

Abstract

Function optimization is useful for us in the research and the development of genetic algorithm. By traditional methods, it will not solve the function optimization problem with satisfied solution. When turning to genetic algorithm, the solution can reach the optimum. This paper gives a brief overview of the research, development and application of genetic algorithm in the beginning. Moreover, a new method of research in genetic algorithm was presented in this paper. It mainly discussed the solution of function optimization problems using genetic algorithm based on a Human Computer Interaction platform, which improves the efficiency of the research.The simulation and analysis of the results got from this platform for solving function optimization problem showed us the good performance of genetic algorithm as well as the convenience and feasibility of the HCI platform.

About this research paper

What this paper is about

Function optimization is useful for us in the research and the development of genetic algorithm. By traditional methods, it will not solve the function optimization problem with satisfied solution. When turning to genetic algorithm, the solution can reach the optimum. This paper gives a brief overview of the research, development and application of genetic algorithm in the beginning. Moreover, a new method of research in genetic algorithm was presented in this paper. It mainly discussed the solution of function optimization problems using genetic algorithm based on a Human Computer Interaction platform, which improves the efficiency of the research.The simulation and analysis of the results got from this platform for solving function optimization problem showed us the good performance of genetic algorithm as well as the convenience and feasibility of the HCI platform.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Function optimization is useful for us in the research and the development of genetic algorithm. By traditional methods, it will not solve the function optimization problem with satisfied solution. When turning to genetic algorithm, the solution can reach the optimum. This paper gives a brief overview of the research, development and application of genetic algorithm in the beginning. Moreover, a new method of research in genetic algorithm was presented in this paper. It mainly discussed the solution of function optimization problems using genetic algorithm based on a Human Computer Interaction platform, which improves the efficiency of the research.The simulation and analysis of the results got from this platform for solving function optimization problem showed us the good performance of genetic algorithm as well as the convenience and feasibility of the HCI platform.

Key concepts: Genetic algorithm, Meta-optimization, Computer science, Function optimization, Function (biology), Mathematical optimization, Optimization problem, Population-based incremental learning

Related papers

Back to paper searchBrowse research topicsOriginal source
Research of Genetic Algorithm in function optimization based on HCI — Research Paper | ScholarLens