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A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques
The increasing energy prices and pollutants from fossil fuels that threaten the climate, there
is a growing preference for renewable energy. The implementation of hybrid renewable …
is a growing preference for renewable energy. The implementation of hybrid renewable …
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
RIME: A physics-based optimization
This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler's laws of planetary motion
This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …
[HTML][HTML] Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
The novelty of this article lies in introducing a novel stochastic technique named the
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …
Crested Porcupine Optimizer: A new nature-inspired metaheuristic
In this paper, a novel nature-inspired meta-heuristic known as Crested Porcupine Optimizer
(CPO) and inspired by various defensive behaviors of crested porcupine (CP) is proposed …
(CPO) and inspired by various defensive behaviors of crested porcupine (CP) is proposed …
Parrot optimizer: Algorithm and applications to medical problems
Stochastic optimization methods have gained significant prominence as effective techniques
in contemporary research, addressing complex optimization challenges efficiently. This …
in contemporary research, addressing complex optimization challenges efficiently. This …
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems
This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Spider wasp optimizer: A novel meta-heuristic optimization algorithm
This work presents a new nature-inspired meta-heuristic algorithm named spider wasp
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …