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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…
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Keywords:
multi swarm;
topology;
optimization;
coyote optimization ... See more keywords
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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,…
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Keywords:
multi swarm;
learning dynamic;
dynamic multi;
marine predators ... See more keywords
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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…
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Keywords:
flame optimization;
multi swarm;
loading pattern;
moth flame ... See more keywords
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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…
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Keywords:
optimization;
dynamic multi;
multi swarm;
swarm ... See more keywords
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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…
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Keywords:
cloud fog;
fog environments;
multi swarm;
pso algorithm ... See more keywords
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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…
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Keywords:
multi swarm;
multi;
evolution based;
workflow scheduling ... See more keywords
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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…
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Keywords:
multi swarm;
water;
distribution networks;
swarm optimizer ... See more keywords