… of action space by combining RL with heuristic information. Because the size of the action
… Hence, instead of using a purely bottom-up learning strategy, we utilize heuristic information …

… performance of our heuristic algorithms. We observe that while various heuristics do exhibit
noticeably different performance, there can be a single and simple heuristic that can perform …

… strategy in the fog computing scenario. A task scheduling strategy based on a hybrid heuristic
(HH) … optimization design, the heuristic information η ij is equal to 1/f ij , and f ij denotes the …

… hyper-heuristic (HH) algorithms for scheduling and allocating resources between fog nodes
… job scheduling optimization based on bees swarm”, Enterprise Information Systems, pp. 1–…

… [8] uses fog computing to achieve parallel processing system, real-time information retrieval
… In this paper, a heuristic load balancing algorithm on fog computing is presented. The load …

… environment as fog nodes to process, store, and analyze the data. Thus fog computing
helps to process the IIoT data and then sending the corresponding control information in real-time…

… which is guaranteed to the optimization problem under incomplete information or limited
capacity in the system. Meta-heuristics provide set of solutions by taking few assumptions about …

… fog computing (FC) as an efficient accompaniment to the cloud to control the IoT’s information
… section, we explained available heuristic approaches for affair planning in the fog. This …

… fog computing has an important role in computing and analyzing processes for enormous
information … In this paper, the fog computing environment is considered for addressing the task …

… The fog node provides a real-time and distributed fog computing model for intelligent terminal
devices in task execution. The cloud provides a remote and centralized cloud computing …