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Journal ArticleDOI

Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition

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TLDR
A novel bio-inspired optimization method developed by extending the original salp swarm algorithm with multiple independent salp chains, thus it can implement a wider exploration and a deeper exploitation under the memetic computing framework.
About
This article is published in Journal of Cleaner Production.The article was published on 2019-04-01. It has received 298 citations till now. The article focuses on the topics: Particle swarm optimization & Cuckoo search.

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Smart technologies for promotion of energy efficiency, utilization of sustainable resources and waste management

TL;DR: The role of smart technologies can become very important and useful to solve the main population issues nowadays and provide foundations for a sustainable future as mentioned in this paper, however, the main challenge is to reduce the effects of global warming and ensure a balanced economic development of society.
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Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

TL;DR: This paper aims to undertake a comprehensive review on meta-heuristic algorithms and related variants which have been applied on PV cell parameter identification and presents some perspectives and recommendations for future development.
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The most used MPPT algorithms: Review and the suitable low-cost embedded board for each algorithm

TL;DR: The most used MPPT algorithms are reviewed (extensively) and a recommendation of the most well-suited embedded board for the implementation of each method is presented and discussed.
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Salp swarm algorithm: a comprehensive survey

TL;DR: An exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics, including its variants, like binary, modifications and multi-objective.
References
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Journal ArticleDOI

Salp Swarm Algorithm

TL;DR: The qualitative and quantitative results prove the efficiency of SSA and MSSA and demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
Journal ArticleDOI

Moth-flame optimization algorithm

TL;DR: The MFO algorithm is compared with other well-known nature-inspired algorithms on 29 benchmark and 7 real engineering problems and the statistical results show that this algorithm is able to provide very promising and competitive results.

On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms

Pablo Moscato
TL;DR: In this paper, the authors present a short abstract, which is a summary of the paper.Short abstract, isn't it? But it is short abstracts, not abstracts.
Journal ArticleDOI

Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm

TL;DR: This paper summarizes the development of SFLANET, a computer model that links SFLA and the hydraulic simulation software EPANET and its library functions and application of S FLANET to literature network design problems is described.
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Development of a photovoltaic array model for use in power-electronics simulation studies

TL;DR: In this article, the authors present a circuit-based simulation model for a PV cell in order to allow the interaction between a proposed power converter (with its associated control arrangement) and the PV array to be studied.
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