Articles with "multi swarm" as a keyword



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The novel multi-swarm coyote optimization algorithm for automatic skin lesion segmentation

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Published in 2020 at "Evolutionary Intelligence"

DOI: 10.1007/s12065-020-00450-4

Abstract: Coyote optimization algorithm (COA) is one of population-based swarm intelligence algorithms inspired by the swarming behavior of coyotes. However, COA showed its effectiveness in solving the global optimization problem, it suffers from premature convergence and… read more here.

Keywords: multi swarm; topology; optimization; coyote optimization ... See more keywords
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Parameters identification of solid oxide fuel cell for static and dynamic simulation using comprehensive learning dynamic multi-swarm marine predators algorithm

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Published in 2021 at "Energy Conversion and Management"

DOI: 10.1016/j.enconman.2020.113692

Abstract: Abstract An accurate identification of the parameters of solid oxide fuel cell (SOFC) models is the first step to provide a reliable design for an energy storage system using SOFC. Therefore, in the current work,… read more here.

Keywords: multi swarm; learning dynamic; dynamic multi; marine predators ... See more keywords
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Loading pattern optimization for a PWR using Multi-Swarm Moth Flame Optimization Method with Predator

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Published in 2019 at "Journal of Nuclear Science and Technology"

DOI: 10.1080/00223131.2019.1700844

Abstract: ABSTRACT This paper aims to propose a new methodology for optimizing fuel loading pattern in a nuclear reactor which is important for its higher safety and economic efficiency. Previous researches have proposed various methodologies to… read more here.

Keywords: flame optimization; multi swarm; loading pattern; moth flame ... See more keywords
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An Improved Hybrid Method Combining Gravitational Search Algorithm With Dynamic Multi Swarm Particle Swarm Optimization

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2903137

Abstract: GSA is badly suffering from a slow convergence rate and poor local search ability when solving complex optimization problems. To solve this problem, a new hybrid population-based algorithm is proposed with the combination of dynamic… read more here.

Keywords: optimization; dynamic multi; multi swarm; swarm ... See more keywords
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Multi-Swarm PSO Algorithm for Static Workflow Scheduling in Cloud-Fog Environments

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3220239

Abstract: Scientific workflow scheduling involves the allocation of workflow tasks to particular computational resources. The generation of optimal solutions to reduce run-time, cost, and energy consumption, as well as ensuring proper load balancing, remains a major… read more here.

Keywords: cloud fog; fog environments; multi swarm; pso algorithm ... See more keywords
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Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud

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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2021.3122428

Abstract: Many scientific applications can be well modelled as large-scale workflows. Cloud computing has become a suitable platform for hosting and executing them. Workflow scheduling has gained much attention in recent years. However, since cloud service… read more here.

Keywords: multi swarm; multi; evolution based; workflow scheduling ... See more keywords
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Multi-swarm optimizer applied in water distribution networks

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Published in 2019 at "DESALINATION AND WATER TREATMENT"

DOI: 10.5004/dwt.2019.24146

Abstract: In the present work, a new approach is presented for the optimization of multi-modal nonlinear programming problems with constraints or a nondifferentiable objective function. The model is applied in the optimization of water distribution networks… read more here.

Keywords: multi swarm; water; distribution networks; swarm optimizer ... See more keywords