[HTML][HTML] Optimal sizing of hybrid photovoltaic/diesel/battery nanogrid using a parallel multiobjective PSO-based approach: Application to desert camping in Hafr Al …
Designing a nanogrid involves intricate considerations. Its primary system components,
including PV systems, inverter type and control, batteries, and diesel generator, always offer …
including PV systems, inverter type and control, batteries, and diesel generator, always offer …
Modeling and control of an irrigation station process using heterogeneous cuckoo search algorithm and fuzzy logic controller
J Chrouta, W Chakchouk, A Zaafouri… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Water is becoming a precious and very scarce resource in many countries due to an
increasing demand in agricultural and industrial fields as well as population growth …
increasing demand in agricultural and industrial fields as well as population growth …
Privacy protection based on many‐objective optimization algorithm
J Zhang, F Xue, X Cai, Z Cui, Y Chang… - Concurrency and …, 2019 - Wiley Online Library
It is difficult to protect users' privacy and to process private information due to the complexity
and uncertainty of such information. To protect private information quickly and accurately, a …
and uncertainty of such information. To protect private information quickly and accurately, a …
[HTML][HTML] Salmon Salar Optimization: A Novel Natural Inspired Metaheuristic Method for Deep-Sea Probe Design for Unconventional Subsea Oil Wells
As global energy demands continue to rise, the development of unconventional oil
resources has become a critical priority. However, the complexity and high dimensionality of …
resources has become a critical priority. However, the complexity and high dimensionality of …
Higher order ANN parameter optimization using hybrid opposition-elitism based metaheuristic
For two decades, the dominance of nature-inspired optimization algorithms has been
irresistible in solving many complex problems. In fact, most of these algorithms are …
irresistible in solving many complex problems. In fact, most of these algorithms are …
约束多目标进化算法研究进展.
朱亚文, 周红标, 李杨, 徐浩渊 - Application Research of …, 2022 - search.ebscohost.com
约束多目标进化算法(CMOEAs) 能够同时处理多个相互冲突的目标函数和约束条件,
引导种群逼向可行域的最优解, 受到了研究者的广泛重视. 首先介绍了约束多目标优化问题 …
引导种群逼向可行域的最优解, 受到了研究者的广泛重视. 首先介绍了约束多目标优化问题 …
An Optimization Algorithm for Solving High-Dimensional Complex Functions Based on a Multipopulation Cooperative Bare-Bones Particle Swarm
C Liu, Y Liu, T Wu, F Yan, Q Zhang - Journal of Electrical Engineering & …, 2022 - Springer
The particle swarm optimization (PSO) algorithm can easily become trapped in a local
optimum when the objective function to be optimized is high-dimensional and complex. A …
optimum when the objective function to be optimized is high-dimensional and complex. A …
[PDF][PDF] Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
SA Yasear - Diss. Universiti Utara Malaysia, 2020 - etd.uum.edu.my
Multi-objective swarm intelligence-based (MOSI-based) metaheuristics were proposed to
solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris's hawk …
solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris's hawk …