Related references
Note: Only part of the references are listed.A hybrid scheduling platform: a runtime prediction reliability aware scheduling platform to improve HPC scheduling performance
Mina Naghshnejad et al.
JOURNAL OF SUPERCOMPUTING (2020)
Efficient task and workflow scheduling in inter-cloud environments: challenges and opportunities
Mohammad Masdari et al.
JOURNAL OF SUPERCOMPUTING (2020)
An energy-aware scheduling algorithm for budget-constrained scientific workflows based on multi-objective reinforcement learning
Yao Qin et al.
JOURNAL OF SUPERCOMPUTING (2020)
An energy-efficient task scheduling algorithm for heterogeneous cloud computing systems
Sanjaya K. Panda et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
A novel scheduling with multi-criteria for high-performance computing systems: an improved genetic algorithm-based approach
Tarun Biswas et al.
ENGINEERING WITH COMPUTERS (2019)
A novel resource aware scheduling with multi-criteria for heterogeneous computing systems
Tarun Biswas et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2019)
A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing
Anubhav Choudhary et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Scheduling parallel tasks with energy and time constraints on. multiple manycore processors in a cloud computing environment
Keqin Li
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Quantum genetic algorithm based scheduler for batch of precedence constrained jobs on heterogeneous computing systems
Taj Alam et al.
JOURNAL OF SYSTEMS AND SOFTWARE (2018)
Cloudy GSA for load scheduling in cloud computing
Divya Chaudhary et al.
APPLIED SOFT COMPUTING (2018)
A PSO-based task scheduling algorithm improved using a load-balancing technique for the cloud computing environment
Fatemeh Ebadifard et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2018)
An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems
Mehdi Akbari et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system
Debanjan Konar et al.
APPLIED SOFT COMPUTING (2017)
Scheduling independent tasks on heterogeneous processors using heuristics and Column Pricing
Christos Gogos et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2016)
A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems
Saima Gulzar Ahmad et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2016)
A quantum-inspired gravitational search algorithm for binary encoded optimization problems
Hossein Nezamabadi-pour
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
Quantum-inspired evolutionary algorithms: a survey and empirical study
Gexiang Zhang
JOURNAL OF HEURISTICS (2011)
GSA: A Gravitational Search Algorithm
Esmat Rashedi et al.
INFORMATION SCIENCES (2009)
Multi-objective optimization using genetic algorithms: A tutorial
Abdullah Konak et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2006)
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
KH Han et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)
A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems
TD Braun et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2001)