Search Results - (( process optimization proposed algorithm ) OR ( java application learning algorithm ))
Search alternatives:
- optimization proposed »
- application learning »
- proposed algorithm »
- learning algorithm »
- java application »
-
1
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. …”
Get full text
Get full text
Thesis -
2
-
3
A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks
Published 2023“…A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was proposed in this research article. …”
Get full text
Get full text
Article -
4
An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process
Published 2014“…In this study, an optimization algorithm based on Gravitational Search Algorithm is proposed for solving route optimization in holes drilling process. …”
Get full text
Get full text
Conference or Workshop Item -
5
Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
An Arithmetic-Trigonometric Optimization Algorithm with Application for Control of Real-Time Pressure Process Plant
Published 2022“…The proposed algorithm adopts different trigonometric functions, namely sin, cos, and tan, with the conventional sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to improve the convergence rate and optimal search area in the exploration and exploitation phases. …”
Get full text
Get full text
Article -
7
Optimization of yeast fermentation process using genetic algorithm
Published 2021“…This paper proposes genetic algorithm (GA) to optimize the productivity of yeast fermentation process. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
8
Biogeography based optimization (BBO) algorithm to minimise non-productive time during hole-making process
Published 2015“…This paper presents an evolutionary optimization algorithm based on geographic distribution of biological organism to deal with hole-making process problem. …”
Get full text
Get full text
Get full text
Article -
9
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
Get full text
Get full text
Get full text
Thesis -
10
Optimized clustering with modified K-means algorithm
Published 2021“…The proposed algorithm utilised a distance measure to compute the between groups’ separation to accelerate the process of identifying an optimal number of clusters using k-means. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Search pattern, search strategy and initial center are the main factors that contribute to the performance in the searching process. In this study, a pattern based using Particle Swarm Optimization (PSO) is proposed named as Hexagon PSO (HPSO). …”
Get full text
Get full text
Thesis -
12
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
Get full text
Get full text
Get full text
Monograph -
13
Voting algorithms for large scale fault-tolerant systems
Published 2011“…In this research, we proposed optimal algorithms using Divide and Conquer, Brent’s theorem and parallel algorithms, appropriate for today’s large scale systems such as satellite processing systems, traffic control, weather forecasting which all face a large quantity of processing input data. …”
Get full text
Get full text
Thesis -
14
A novel clustering based genetic algorithm for route optimization
Published 2016“…The proposed algorithm has been applied to route optimization problem. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
15
Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…The idea is proposed in an effort of accessing the functionality and practicability of the dynamic optimizer for the purpose of precision optimization. …”
Get full text
Get full text
Get full text
Thesis -
16
Newton competitive genetic algorithm method for optimization the production of biochemical systems
Published 2018“…The optimization process becomes hard and difficult when it involves multi-objective problem. …”
Get full text
Get full text
Article -
17
-
18
Hybrid multi-objective optimization methods for in silico biochemical system production
Published 2016“…The proposed method combined Newton method, Strength Pareto approach, Cooperative Coevolutionary Algorithm (CooCA) and Genetic Algorithm (GA). …”
Get full text
Get full text
Thesis -
19
-
20
Optimizing support vector machine parameters using continuous ant colony optimization
Published 2012“…Hence, in applying Ant Colony Optimization for optimizing Support Vector Machine parameters, which are continuous parameters, there is a need to discretize the continuous value into a discrete value.This discretization process results in loss of some information and, hence, affects the classification accuracy and seek time.This study proposes an algorithm to optimize Support Vector Machine parameters using continuous Ant Colony Optimization without the need to discretize continuous values for Support Vector Machine parameters.Seven datasets from UCI were used to evaluate the performance of the proposed hybrid algorithm.The proposed algorithm demonstrates the credibility in terms of classification accuracy when compared to grid search techniques.Experimental results of the proposed algorithm also show promising performance in terms of computational speed.…”
Get full text
Get full text
Get full text
Conference or Workshop Item
