Search Results - (( problem using evolutionary algorithm ) OR ( java application optimization algorithm ))
Search alternatives:
- application optimization »
- java application »
- evolutionary »
-
1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…Genetic algorithms are powerful optimizing techniques that are used successfully to solve problems in many different disciplines. …”
Conference paper -
2
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
Get full text
Get full text
Get full text
Get full text
Article -
3
-
4
Towards Software Product Lines Optimization Using Evolutionary Algorithms
Published 2019Get full text
Get full text
Proceeding Paper -
5
Exploring fruit fly evolutionary algorithm in a university examination timetabling environment
Published 2019“…A new evolutionary algorithm namely the Fruit-Fly Optimization Algorithm (FOA) which is based on the behavior of finding food by the fruit fly is used as solution methodology. …”
Get full text
Get full text
Get full text
Article -
6
Evolutionary mating algorithm
Published 2023“…This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm (EMA) to solve constrained optimization problems. …”
Get full text
Get full text
Get full text
Get full text
Article -
7
Metric's thresholds for encoding evolutionary computing representation in software engineering problem
Published 2015“…Algorithm was tested to metric selection problem using Genetic Algorithm and the results obtained are promising.…”
Get full text
Get full text
Get full text
Article -
8
Hybrid evolutionary optimization algorithms: A case study in manufacturing industry
Published 2014“…This membership function is applied for its useful performance through industrial production problems by employing hybrid evolutionary optimization algorithms. …”
Get full text
Get full text
Book -
9
A comprehensive comparison of evolutionary optimization limited by number of evaluations against time constraints
Published 2016“…In this study, the importance of optimization problems constrained by time is highlighted. Practically allevolutionary optimization studies have focused exclusively on the use of number of fitness evaluations as the constraining factor when comparing different evolutionary algorithms (EAs). …”
Get full text
Get full text
Get full text
Get full text
Article -
10
Hybrib NSGA-II optimization for improving the three-term BP network for multiclass classification problems
Published 2015“…This paper presents a hybrid of the multiobjective evolutionary algorithm to gain a better accuracy of the fi nal solutions.The aim of using the hybrid algorithm is to improve the multiobjective evolutionary algorithm performance in terms of the enhancement of all the individuals in the population and increase the quality of the Pareto optimal solutions.The multiobjective evolutionary algorithm used in this study is a nondominated sorting genetic algorithm-II (NSGA-II) together with its hybrid, the backpropagation algorithm (BP), which is used as a local search algorithm to optimize the accuracy and complexity of the three-term backpropagation (TBP) network. …”
Get full text
Get full text
Get full text
Article -
11
Hybrid NSGA-II Optimization for Improving the Three-Term BP Network for Multiclass Classification Problems
Published 2015“…The multiobjective evolutionary algorithm used in this study is a nondominated sorting genetic algorithm-II (NSGA-II) together with its hybrid, the backpropagation algorithm (BP), which is used as a local search algorithm to optimize the accuracy and complexity of the three-term backpropagation (TBP) network. …”
Get full text
Get full text
Get full text
Article -
12
Design of digital circuit structure based on evolutionary algorithm method
Published 2008“…Evolutionary Algorithms (EAs) cover all the applications involving the use of Evolutionary Computation in electronic system design. …”
Get full text
Get full text
Get full text
Article -
13
-
14
-
15
-
16
Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…In this research, we showed how evolutionary multi-objective algorithms can be used to solve the view selection problem and its advantage over classical optimization problems were described. …”
Get full text
Get full text
Thesis -
17
Efficient transmission based on genetic evolutionary algorithm
Published 2022“…Through the simulation of the transmission performance of genetic optimization algorithm, the comparison of transmission energy consumption between GA and evolutionary algorithm is analyzed, and the evolutionary algorithm with higher transmission performance is obtained. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
18
Intelligent Evolutionary Controller for Flexible Robotic Arm
Published 2020“…The developed evolutionary algorithms have been implemented and experimentally verified using robotic arm manipulator experimental rig. …”
Get full text
Get full text
Get full text
Article -
19
-
20