Sep 24, 2021 · HCMOPSO introduces hill climbing optimisation techniques into particle swarm optimisation algorithm to improve the local search ability.
Jan 1, 2023 · The main contribution of this paper is to propose a cloud workflow scheduling algorithm based on multi-objective particle swarm optimisation.
This paper proposes a hybrid particle swarm optimization algorithm, namely HPSO, to reduce application's total execution time (ie., makespan) and balance ...
This paper presents a non-dominance sort based Hybrid Particle Swarm Optimization (HPSO) algorithm to handle the workflow scheduling problem with multiple ...
Missing: Cloud algorithm
Jan 1, 2021 · HCMOPSO introduces hill climbing optimisation techniques into particle swarm optimisation algorithm to improve the local search ability.
The paper proposes a hybrid algorithm which is based on heuristic local search and multi-objective particle swarm optimisation algorithm, called HCMOPSO. The ...
This paper presents a non-dominance sort based Hybrid Particle Swarm Optimization (HPSO) algorithm to handle the workflow scheduling problem with multiple ...
Missing: optimisation. | Show results with:optimisation.
The algorithm is used to maintain the scheduling workflow problem using a fitness function designed for an HPSO approach and used in an IaaS cloud. ... ...
In this paper, our focus is to formulate a Multi objective approach which is used to optimally map and load balance the tasks in the cloud by calculating the ...
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The proposed algorithm outperformed the multi-objective particle swarm optimization (MOPSO) algorithm according to the authors' comparison of the two methods.
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