Search Results - (( initial optimization method algorithm ) OR ( using combination method algorithm ))
Search alternatives:
- initial optimization »
- method algorithm »
-
1
Combining approximation algorithm with genetic algorithm at the initial population for NP-complete problem
Published 2018“…Unlike approximation algorithms (AA), these methods do not provide a guarantee to the generated individual's quality in terms of optimality. …”
Get full text
Get full text
Article -
2
An Integrated RRT*SMART-A* Algorithm for solving the Global Path Planning Problem in a Static Environment
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
3
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
4
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
5
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
6
Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…In addition, experiments prove that incremental genetic-based clustering ensemble algorithm speed up to converge into an optimal clustering solution, where pattern ensemble learning method and the cluster partitions produced by the threshold fuzzy c-means clustering algorithm are employed as recombination operator and initial population, respectively.…”
Get full text
Get full text
Thesis -
7
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
Get full text
Get full text
Get full text
Thesis -
8
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
9
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
10
AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT
Published 2023“…Furthermore, this proposed method's optimality and fast convergence rate are satisfied.…”
Get full text
Get full text
Get full text
Article -
11
Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…The multi-objective genetic algorithm which selects the design points based on Pareto optimal design combined with the adaptive multi-objective algorithm method which uses an optimal space-filling was shown to be efficient for time limitation and budget. …”
Get full text
Get full text
Thesis -
12
An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…It uses a weighted K-means clustering algorithm based on the improved FA to optimize the initial clustering centers of K-means algorithm, known as Weighted K-means clustering-Improved Firefly Algorithm (WKIFA). …”
Get full text
Get full text
Thesis -
13
Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method
Published 2024“…Then in terms of methodology, the Enhanced Henry Gas Solubility Optimization (EHGSO) algorithm is combined with the Sine-Cosine mutualism phase of Symbiotic Organisms Search (SOS) for efficiently estimating the unknown parameters of PV models. …”
Get full text
Get full text
Article -
14
Path planning algorithm for a car like robot based on MILP method
Published 2013“…This algorithm provides the robot the possibility to move from the initial position to the final position (target). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
15
Disparity map algorithm for stereo matching process using local based method
Published 2022“…Semi global method is the combination of both methods which make this method is more complex. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
16
Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…In this algorithm, the convolution theorem has been used to find an optimal Lagrange multiplier.…”
Get full text
Get full text
Thesis -
17
Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…In this algorithm, the convolution theorem has been used to find an optimal Lagrange multiplier.…”
Get full text
Get full text
Thesis -
18
Optimized processing of satellite signal via evolutionary search algorithm
Published 2000“…A combination of three methods, namely optimization, global random search and ambiguity function mapping has produced an efficient and robust mitigation technique. …”
Get full text
Get full text
Article -
19
Harmony search-based robust optimal controller with prior defined structure
Published 2013“…In this approach, a combination of interacting two levels HS optimization algorithm is presented. …”
Get full text
Get full text
Thesis -
20
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In the hybrid scheme, the initial parameters of the modified BP neural network are optimized by using the global search ability of genetic algorithm, improved by cat chaotic mapping to enrich its optimization capability. …”
Get full text
Get full text
Thesis
