Nature inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments

S Asghari, NJ Navimipour - International Journal of …, 2018 - Wiley Online Library
Many sorts of services in the cloud environments must be composited based on the user's
requests to meet the requirements. Thus, the distributed services are joined to the cloud …

[HTML][HTML] Flood routing in river reaches using a three-parameter Muskingum model coupled with an improved bat algorithm

S Farzin, VP Singh, H Karami, N Farahani, M Ehteram… - Water, 2018 - mdpi.com
Design of hydraulic structures, flood warning systems, evacuation measures, and traffic
management require river flood routing. A common hydrologic method of flood routing is the …

Oppositional salp swarm algorithm with mutation operator for global optimization and application in training higher order neural networks

N Panda, SK Majhi - Multimedia Tools and Applications, 2021 - Springer
Effectiveness of any swarm based metaheuristic optimization algorithm focuses on perfect
mishmash of operator's castoff for exploration and exploitation. The absenteeism of balance …

A novel upgraded bat algorithm based on cuckoo search and Sugeno inertia weight for large scale and constrained engineering design optimization problems

VK Pathak, AK Srivastava - Engineering with Computers, 2022 - Springer
The bat algorithm (BA) is one of prominent swarm-based algorithm that has the suitability in
solving only small dimension engineering problems and suffers from drawback of getting …

[HTML][HTML] An improved bat algorithm based on lévy flights and adjustment factors

Y Li, X Li, J Liu, X Ruan - Symmetry, 2019 - mdpi.com
This paper proposed an improved bat algorithm based on Lévy flights and adjustment
factors (LAFBA). Dynamically decreasing inertia weight is added to the velocity update …

Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays

S Liang, Z Fang, G Sun, G Qu - Applied Soft Computing, 2022 - Elsevier
Biogeography-based optimization (BBO) is a swarm intelligence optimization algorithm
based on migration and mutation operations, which is usually used to solve the complex …

A modified bat algorithm with torus walk for solving global optimisation problems

WH Bangyal, J Ahmed, HT Rauf - International Journal of …, 2020 - inderscienceonline.com
Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …

Optimized test suites for automated testing using different optimization techniques

M Khari, P Kumar, D Burgos, RG Crespo - Soft Computing, 2018 - Springer
Automated testing mitigates the risk of test maintenance failure, selects the optimized test
suite, improves efficiency and hence reduces cost and time consumption. This paper is …

A new bat algorithm based on a novel topology and its convergence

C Wang, W Song, P Shen - Journal of Computational Science, 2023 - Elsevier
The basic bat algorithm (BA) is a swarm intelligent algorithm, which simulates the
echolocation behavior of micro bats. Although BA is easy to implement and efficient in …

Active current sharing of a parallel DC-DC converters system using bat algorithm optimized two-DOF PID control

SY Chen, BC Yang, TA Pu, CH Chang, RC Lin - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents a current sharing method to actively balance the output currents of a
parallel dc-dc converters'(PDCC) system regarding the demanded power. First, the …