… energy cost of three components: edge devices, cloud servers, and data transmission… bat
algorithm to solve the above problem. Furthermore, we design an adaptive chaos bat algorithm …

… workflows ranging from small case with 4 tasks and 6 dependency edges to large one with
110 tasks and 710 dependency edges, and networks ranging from 6 nodes to 150 nodes. All …

Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …

… the above intelligent algorithms, Bat Algorithm (BA) has appeared as one more efficient
method. Specifically, it can deal with some problems more effective than genetic algorithm and …

… of the things tier and the edge tier. The things tier … edge computing tier is responsible for
processing computation tasks with robust computing capability. In addition, the node in the edge …

… a set of edges representing the precedency relation between tasks. The computational load
of each task is expressed in million instructions (MI), and the label on each edge represents …

… The bat algorithm (BA), compared to genetic algorithms (GA) … Therefore, this study preserves
the complete bat algorithm … establishing the multi-objective bat algorithm (MOBA) to provide …

… of the bat algorithm, this section proposes an improved bat … reverse transfer: The adaptive
bat algorithm proposed in this paper … or at edge nodes according to the algorithm. to uninstall. …

… algorithms in load balancing technique for cloud computing. This paper only focuses on
BAT algorithms … are used for improvement in load balancing technique in cloud data centre. …

… implement an efficient algorithm for workflow scheduling in hybrid cloud-edge environments.
The … scheduling in cloud-edge can be further improved by using enhanced metaheuristics. …