Material Engineering and Mechanical Engineering 2016
DOI: 10.1142/9789814759687_0010
|View full text |Cite
|
Sign up to set email alerts
|

Research on Robot Path Planning Algorithm Based on Physical Modeling

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…All of methods are based on the natural intelligent swarms (ACO based on ants, PSO on birds, and ABC on bees) and have been studied by many researchers to address the actual complex problems, because the problems have many important counterparts in several engineering areas of the real world. Among so many SI approaches, ABC has attracted highly the interest of the researchers in s. The successful applications of the ABC include the numerical optimization to single-objethat it has the advantages of less parameters and easier to compute and realize than the otherctive or multi-objective problems [4], robotic path planning [5], artificial neural network training [6], data mining [7], wireless network optimization [8], filter design [9], resource scheduling [10], manufacture operation [11] and etc. The application fields include compute, electronics, software, management, control engineer and etc.…”
Section: Introductionmentioning
confidence: 99%
“…All of methods are based on the natural intelligent swarms (ACO based on ants, PSO on birds, and ABC on bees) and have been studied by many researchers to address the actual complex problems, because the problems have many important counterparts in several engineering areas of the real world. Among so many SI approaches, ABC has attracted highly the interest of the researchers in s. The successful applications of the ABC include the numerical optimization to single-objethat it has the advantages of less parameters and easier to compute and realize than the otherctive or multi-objective problems [4], robotic path planning [5], artificial neural network training [6], data mining [7], wireless network optimization [8], filter design [9], resource scheduling [10], manufacture operation [11] and etc. The application fields include compute, electronics, software, management, control engineer and etc.…”
Section: Introductionmentioning
confidence: 99%