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A comprehensive survey: Whale Optimization Algorithm and its applications
FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Hybridization of firefly and improved multi-objective particle swarm optimization algorithm for energy efficient load balancing in cloud computing environments
Abstract Load balancing, in Cloud Computing (CC) environment, is defined as the method of
splitting workloads and computing properties. It enables the enterprises to manage workload …
splitting workloads and computing properties. It enables the enterprises to manage workload …
AdPSO: adaptive PSO-based task scheduling approach for cloud computing
Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …
and industry. The load balanced task scheduling has emerged as an important and …
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …
confluence between Big Data technologies and bio-inspired computation. A manifold of …
Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory
As the world is progressing towards more efficient computing and faster approaches, cloud
computing is a popular computing model to such increasing requirements. In order to …
computing is a popular computing model to such increasing requirements. In order to …
Reinforcement learning-based application autoscaling in the cloud: A survey
Reinforcement Learning (RL) has demonstrated a great potential for automatically solving
decision-making problems in complex, uncertain environments. RL proposes a …
decision-making problems in complex, uncertain environments. RL proposes a …
Cost optimized hybrid genetic-gravitational search algorithm for load scheduling in cloud computing
In cloud computing, cost optimization is a prime concern for load scheduling. The swarm
based meta-heuristics are prominently used for load scheduling in distributed computing …
based meta-heuristics are prominently used for load scheduling in distributed computing …
Honey bee based load balancing in cloud computing
The technology of cloud computing is growing very quickly, thus it is required to manage the
process of resource allocation. In this paper, load balancing algorithm based on honey bee …
process of resource allocation. In this paper, load balancing algorithm based on honey bee …
A taxonomy of job scheduling on distributed computing systems
Hundreds of papers on job scheduling for distributed systems are published every year and
it becomes increasingly difficult to classify them. Our analysis revealed that half of these …
it becomes increasingly difficult to classify them. Our analysis revealed that half of these …
[PDF][PDF] A survey in the resource-constrained project and multi-project scheduling problems
S Issa, Y Tu - Journal of Project Management, 2020 - academia.edu
Resource-Constrained Project and Multi-Project Scheduling Problems (RCPSPs and
RCMPSPs) have been essential topics of study over the last three decades. Both problems …
RCMPSPs) have been essential topics of study over the last three decades. Both problems …