Search Results - (( based computing ((bat algorithm) OR (_ algorithm)) ) OR ( java implication based algorithm ))
Search alternatives:
- implication based »
- java implication »
- based computing »
-
1
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016Get full text
Get full text
Thesis -
2
-
3
-
4
-
5
An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
Published 2021“…Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…This study proposes a new hybrid optimization algorithm based on a bat algorithm (BA) and particle swarm optimization algorithm (PSOA) called the hybrid bat–swarm algorithm (HB-SA). …”
Get full text
Get full text
Article -
7
-
8
Taguchi?s T-method with Normalization-Based Binary Bat Algorithm
Published 2025“…Therefore, a variable selection technique using a swarm-based Binary Bat algorithm is proposed. Specifically, a normalization-based Binary Bat algorithm is used, where discretization of continuous solution into binary form is performed using a normalization equation. …”
Conference paper -
9
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
Get full text
Get full text
Thesis -
10
TBat: A Novel Strategy for Minimization of T-Way Interaction Test Suite Based on the Particle Swarm Optimization and the Bat Algorithm
Published 2016Get full text
Get full text
Conference or Workshop Item -
11
An Interaction Strategy for Testing Software Product Lines using the Bat-inspired Algorithm
Published 2015Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm
Published 2020“…Therefore, our proposed method partitions the given graph to sub-graphs that can be tackled independently, which reduces the computational time of finding the MDS solution. This paper investigates the swarm intelligence behaviour represented by a population-based approach called the bat algorithm (BA) to find the smallest set of nodes that dominate the graph. …”
Get full text
Get full text
Article -
13
-
14
Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm
Published 2018“…In this study, a hybrid of the bat algorithm (BA) and the particle swarm optimization (PSO) algorithm, i.e., the hybrid bat-swarm algorithm (HBSA), was developed for the optimal determination of these four parameters. …”
Get full text
Get full text
Article -
15
Bat Algorithm Based Hybrid Filter-Wrapper Approach
Published 2023“…This paper presents a new hybrid of Bat Algorithm (BA) based on Mutual Information (MI) and Naive Bayes called BAMI. …”
Article -
16
SPLBA: an interaction strategy for testing software product lines using the bat-inspired algorithm
Published 2015Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm
Published 2018“…This study aims at investigating the use of the bat algorithm (BA), a nature-inspired metaheuristic algorithm for MPP tracking (MPPT) subjected to PS conditions. …”
Get full text
Get full text
Article -
18
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…The proposed HPSO algorithm aims to obtain the least number of computations with low degradation value in estimation accuracy. …”
Get full text
Get full text
Thesis -
19
-
20
