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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-018-00696-8
Abstract: The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for improving the convergence performance with the exploration and…
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Keywords:
salp swarm;
optimization;
sine cosine;
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04029-8
Abstract: A new attempt of employing salp swarm algorithm (SSA) to tackle the optimal power flow (OPF) problem is demonstrated in the current study. This aforementioned problem has four fitness functions to be optimized such as…
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Keywords:
ssa;
power flow;
voltage stability;
power ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04629-4
Abstract: This paper completely introduces an exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of the efficient recent meta-heuristic optimization algorithms, where it has…
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Keywords:
comprehensive survey;
salp swarm;
swarm algorithm;
algorithm comprehensive ... See more keywords
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Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10271-2
Abstract: This paper proposes a modified optimization algorithm called polar coordinate salp swarm algorithm (PSSA). The main inspiration of PSSA is the aggregation chain and foraging trajectory of salp is spiral. Some curves are extremely complex…
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Keywords:
coordinate salp;
algorithm;
coordinate;
swarm algorithm ... See more keywords
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Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.01.015
Abstract: Abstract This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation neural network (BPNN) to solve the software fault prediction (SFP) problem. The SFP problem is one of the well-known software engineering problems…
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Keywords:
salp swarm;
problem;
software fault;
prediction ... See more keywords
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Published in 2019 at "International Journal of Management Science and Engineering Management"
DOI: 10.1080/17509653.2019.1677197
Abstract: ABSTRACT This paper investigates the performance of a chaotic salp swarm optimization (CSSO) algorithm for solving optimal power flow (OPF) problems. The proposed CSSO-based method is applied on five different types of objective functions (OFs)…
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Keywords:
chaotic salp;
salp swarm;
performance;
power ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2976101
Abstract: The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017. It has been proved that SSA has competitive results compared to several other well-known meta-heuristic algorithms on various optimization problem. However, like…
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Keywords:
optimization;
salp swarm;
swarm algorithm;
opposition based ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031472
Abstract: Security attacks are a nightmare to many computing environments such as fog computing, and these attacks should be addressed. Fog computing environments are vulnerable to various kinds of DDoS attacks, which can keep fog resources…
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Keywords:
salp swarm;
swarm algorithm;
fog computing;
fog environments ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3196851
Abstract: This paper proposes an improved salp swarm algorithm (ISSA) as an effective metaheuristic method for tackling global optimization issues and damping power system oscillations. In the suggested ISSA, new equations are introduced to update the…
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Keywords:
system;
improved salp;
power system;
salp swarm ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3210135
Abstract: Various real-world problems are essentially multiobjective optimization problems (MOPs), which involve several conflicting objectives. We propose a Quantum-inspired multiobjective Salp Swarm Algorithm based on the Decomposition technique to locate the multiple Pareto-optimal solutions (POS). The…
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Keywords:
multiobjective optimization;
salp swarm;
decomposition;
quantum inspired ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3213746
Abstract: The identification of parameters in solar cell models is still a major challenge in photovoltaic (PV) system simulation and design. Because of its more basic ideas, efficiency, adaptability, swarm and evolutionary optimization algorithms, as well…
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Keywords:
modified salp;
swarm optimization;
salp swarm;
parameter ... See more keywords