Search Results - (( developing solving bat algorithm ) OR ( java application tree algorithm ))
Search alternatives:
- developing solving »
- java application »
- application tree »
- tree algorithm »
- bat algorithm »
- solving bat »
-
1
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…An adaptive bats sonar algorithm is proposed for solving single objective optimisation problems. …”
Get full text
Get full text
Thesis -
2
Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…In this study, one of the metaheuristic algorithms known as the Bat Algorithm (BA) has been discussed. …”
Get full text
Get full text
Get full text
Thesis -
3
Application of adaptive bats sonar algorithm to minimise car side impact design
Published 2017“…This project was focusing on the modification of bats sonar algorithm (BSA) and renamed to adaptive bats sonar algorithm (ABSA) due to some limitations of previous algorithm. …”
Get full text
Get full text
Get full text
Undergraduates Project Papers -
4
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
Get full text
Get full text
Thesis -
5
An application of modified adaptive bats sonar algorithm (MABSA) on fuzzy logic controller for dc motor accuracy
Published 2021“…Therefore, this research presents works on the FLC system which is the fuzzy inference system that will be optimized by the modified adaptive bats sonar algorithm (MABSA) for the DC servo motor position control. …”
Get full text
Get full text
Thesis -
6
Metaheuristic Algorithms and Neural Networks in Hydrology
Published 2024“…This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural networks (ANNs) in hydrology. …”
Get full text
Get full text
Get full text
Book -
7
Review of Multi-Objective Swarm Intelligence Optimization Algorithms
Published 2021“…These reviewed algorithms were mainly developed to solve continuous MOPs. …”
Get full text
Get full text
Article -
8
-
9
A Surrogate Assisted Quantum-Behaved Algorithm for Well Placement Optimization
Published 2022“…Various traditional and non-traditional optimization algorithms have been developed to resolve these difficulties. …”
Get full text
Get full text
Article -
10
Irrigation management based on reservoir operation with an improved weed algorithm
Published 2023Article -
11
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Published 2019“…Metaheuristic algorithms have received much attention recently for solving different optimization and engineering problems. …”
Get full text
Get full text
Get full text
Get full text
Article -
12
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text
Article -
13
Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm
Published 2018“…For example, the average solution for the IWA at high inflow was 0.985 while it was 1.037, 1.040, 1.115 and 1.121 for the weed algorithm (WA), bat algorithm (BA), improved particle swarm optimization algorithm (IPSOA) and genetic algorithm (GA). …”
Get full text
Get full text
Article -
14
IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks
Published 2024“…Additionally, simulation results confirm that the proposed algorithm IWDSA exhibits outstanding performance compared to other algorithms utilizing optimization techniques, including genetic algorithms, bat algorithms, ant colony optimization, and swarm optimization. …”
Get full text
Get full text
Get full text
Article -
15
Mining Sequential Patterns using I-PrefixSpan
Published 2008Get full text
Get full text
Citation Index Journal -
16
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text
Thesis -
17
Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…SVR however is inferior in accuracy and thus this paper discusses the usage of an optimized SVR with Evolved Bat Algorithm (EBA) to handle the missing value accurately with high execution time. …”
Get full text
Get full text
Article -
18
Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…The firefly algorithm remains a feasible alternative for shallow architectural network models, while metaheuristic algorithms such as the Particle swarm algorithm and Bat algorithm are better options for deeper architectural network models. …”
Get full text
Get full text
Get full text
Thesis -
20
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
Get full text
Get full text
Get full text
Article
