Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions
This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
A comprehensive review on water cycle algorithm and its applications
In recent years, significant attentions have been devoted to design of metaheuristic
optimization algorithms in order to solve optimization problems. Metaheuristic optimizers are …
optimization algorithms in order to solve optimization problems. Metaheuristic optimizers are …
A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on mixed integer genetic algorithm
In this paper, a methodology has been proposed to decrease the solution time of the joint
energy-reserve market clearing problem under Payment Cost Minimization (PCM) …
energy-reserve market clearing problem under Payment Cost Minimization (PCM) …
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic
This research proposes a new type of Grey Wolf optimizer named Gradient-based Grey Wolf
Optimizer (GGWO). Using gradient information, we accelerated the convergence of the …
Optimizer (GGWO). Using gradient information, we accelerated the convergence of the …
Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm
C Wu, J Wang, Y Hao - Resources Policy, 2022 - Elsevier
Highlights•A hybrid forecasting system is developed for crude oil price forecasting.•The
improved multi-objective water cycle algorithm is proposed.•The proposed prediction system …
improved multi-objective water cycle algorithm is proposed.•The proposed prediction system …
Boosting quantum rotation gate embedded slime mould algorithm
The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems
Water cycle algorithm (WCA) is one of the efficient metaheuristic optimization algorithms
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …
A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem
The water cycle algorithm (WCA) is a nature-inspired meta-heuristic recently contributed to
the community in 2012, which finds its motivation in the natural surface runoff phase in water …
the community in 2012, which finds its motivation in the natural surface runoff phase in water …
Multi-objective optimal scheduling of a microgrid using oppositional gradient-based grey wolf optimizer
Optimal energy management has become a challenging task to accomplish in today's
advanced energy systems. If energy is managed in the most optimal manner, tremendous …
advanced energy systems. If energy is managed in the most optimal manner, tremendous …
An efficient chaotic gradient-based optimizer for feature selection
DS Abd Elminaam, SA Ibrahim, EH Houssein… - IEEE …, 2022 - ieeexplore.ieee.org
In many applications, selecting the optimal features is a difficult task. Numerous In
optimization problems, eg, feature selection (FS) problem, have been solved using …
optimization problems, eg, feature selection (FS) problem, have been solved using …