2016
DOI: 10.17485/ijst/2016/v9i38/101939
|View full text |Cite
|
Sign up to set email alerts
|

Novel Adaptive Whale Optimization Algorithm for Global Optimization

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
29
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 60 publications
(29 citation statements)
references
References 9 publications
0
29
0
Order By: Relevance
“…We consider some of the methods dealing with load distribution among the nodes in the cloud using the foraging behavior of humpback whales as the reference for performance modeling. The methods considered are Whale optimization based Scheduler (W-Scheduler), Multi-objective Whale Optimization Algorithm (WOA) for task scheduling and load balancing, Levy flight trajectory-based Whale Optimization Algorithm (LWOA), and improved levy based whale optimization algorithm for virtual machine placement [16][17][18][19][20][21]. The technique uses bubble net hunting strategy of whales to distribute the load evenly among the virtual machines as shown in Figure 2.…”
Section: Whale Optimization Lbtmentioning
confidence: 99%
“…We consider some of the methods dealing with load distribution among the nodes in the cloud using the foraging behavior of humpback whales as the reference for performance modeling. The methods considered are Whale optimization based Scheduler (W-Scheduler), Multi-objective Whale Optimization Algorithm (WOA) for task scheduling and load balancing, Levy flight trajectory-based Whale Optimization Algorithm (LWOA), and improved levy based whale optimization algorithm for virtual machine placement [16][17][18][19][20][21]. The technique uses bubble net hunting strategy of whales to distribute the load evenly among the virtual machines as shown in Figure 2.…”
Section: Whale Optimization Lbtmentioning
confidence: 99%
“…They prefer to hunt krill or small fishes close to the surface. WOA mimics the hunting behaviour with random or the best search agent to pursue the prey and the use of a spiral to simulate bubblenet attack mechanisms of humpback whales [12,35]. The numerical efficiency of the WOA algorithm designed and implemented was tested by solving 29 mathematical optimization problems, 23 are classical benchmark functions and 6 composite benchmark functions.…”
Section: Recent Applications Of Woamentioning
confidence: 99%
“…A new randomization approach referred to as adaptive technique was hybridized with WOA and tested on ten unconstraint test benchmark functions by Trivedi et al [35]. The WOA algorithm shows improved feature that it makes use of logarithmic spiral function to cover a wide area in exploration phase, that is in addition to powerful randomization adaptive technique for whale optimization algorithm (AWOA) to achieve global optimal solution and faster convergence with less parameter dependency.…”
Section: Recent Applications Of Woamentioning
confidence: 99%
See 2 more Smart Citations