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Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection
The slime mould algorithm (SMA) is a population-based optimization algorithm that mimics
the foraging behavior of slime moulds with a simple structure and few hyperparameters …
the foraging behavior of slime moulds with a simple structure and few hyperparameters …
A contemporary systematic review on meta-heuristic optimization algorithms with their matlab and python code reference
Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …
fashion market, mass communication, travelling, and also in our daily activities. In every …
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 …
Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems
This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic
optimization algorithm inspired by the migratory and predatory behavior of the black kite …
optimization algorithm inspired by the migratory and predatory behavior of the black kite …
Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design
This paper develops a novel nature-inspired metaheuristic technique named snow ablation
optimizer (SAO) for numerical optimization and engineering design. The SAO algorithm …
optimizer (SAO) for numerical optimization and engineering design. The SAO algorithm …
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
Y Fu, D Liu, J Chen, L He - Artificial Intelligence Review, 2024 - Springer
This study introduces a novel population-based metaheuristic algorithm called secretary bird
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …
Mantis Search Algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems
This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
Chaotic RIME optimization algorithm with adaptive mutualism for feature selection problems
The RIME optimization algorithm is a newly developed physics-based optimization algorithm
used for solving optimization problems. The RIME algorithm proved high-performing in …
used for solving optimization problems. The RIME algorithm proved high-performing in …
Multivariate short-term wind speed prediction based on PSO-VMD-SE-ICEEMDAN two-stage decomposition and Att-S2S
X Sun, H Liu - Energy, 2024 - Elsevier
To counter the challenges posed by the unpredictability of wind velocities on wind energy
production, a wind speed prediction model combining chaotic map**-based particle …
production, a wind speed prediction model combining chaotic map**-based particle …