BMPA-TVSinV: A Binary Marine Predators Algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection
Z Beheshti - Knowledge-Based Systems, 2022 - Elsevier
The feature selection problem is one of the pre-processing mechanisms to find the optimal
subset of features from a dataset. The search space of the problem will exponentially grow …
subset of features from a dataset. The search space of the problem will exponentially grow …
Grey wolf optimizer and whale optimization algorithm for stochastic inventory management of reusable products in a two-level supply chain
Product reuse and recovery is an efficient tool that helps companies to simultaneously
address economic and environmental dimensions of sustainability. This paper presents a …
address economic and environmental dimensions of sustainability. This paper presents a …
A selection hyper-heuristic algorithm with Q-learning mechanism
F Zhao, Y Liu, N Zhu, T Xu - Applied Soft Computing, 2023 - Elsevier
The selection of an algorithm in the real world of the application domain is a challenging
problem as no specific algorithm exists capable of solving all issues to a satisfactory …
problem as no specific algorithm exists capable of solving all issues to a satisfactory …
An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems
In this article, a series of learning strategies are proposed to enhance the optimization ability
of the artificial electric field algorithm. Orthogonal learning is an important mathematical tool …
of the artificial electric field algorithm. Orthogonal learning is an important mathematical tool …
An efficient manta ray foraging optimization algorithm with individual information interaction and fractional derivative mutation for solving complex function extremum …
J Liu, Y Chen, X Liu, F Zuo, H Zhou - Applied Soft Computing, 2024 - Elsevier
The manta ray foraging optimization algorithm (MRFO) is a recently proposed meta-heuristic
algorithm that mimics the foraging process of manta rays. It has yielded good outcomes in …
algorithm that mimics the foraging process of manta rays. It has yielded good outcomes in …
A cooperative whale optimization algorithm for energy-efficient scheduling of the distributed blocking flow-shop with sequence-dependent setup time
F Zhao, Z Xu, H Bao, T Xu, N Zhu - Computers & Industrial Engineering, 2023 - Elsevier
The distributed blocking flow-shop sequence-dependent scheduling problem (DBFSDSP)
with the production efficiency measures has been extensively concerned as its wide …
with the production efficiency measures has been extensively concerned as its wide …
Recent advances of whale optimization algorithm, its versions and applications
Swarm intelligence (SI) is an approach inspired by natural phenomena that have been
implemented in the optimization field. This field has rapidly increased very fast recently. The …
implemented in the optimization field. This field has rapidly increased very fast recently. The …
An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm
F Zhao, Q Wang, L Wang - Knowledge-Based Systems, 2023 - Elsevier
A reward function is learned from the expert examples by inverse reinforcement learning
(IRL), which is more reliable than an artificial method. The moth–flame optimization …
(IRL), which is more reliable than an artificial method. The moth–flame optimization …
An improved heterogeneous comprehensive learning symbiotic organism search for optimization problems
AO Abdulsalami, M Abd Elaziz… - Knowledge-Based …, 2024 - Elsevier
Abstract The Symbiotic Organism Search (SOS) algorithm, and most of its variants, exhibit
the same search behaviour. That is, each organism or individual in the ecosystem applies …
the same search behaviour. That is, each organism or individual in the ecosystem applies …
Fundus image segmentation based on random collision whale optimization algorithm
Medical image segmentation is an important technical tool, OTSU algorithm is a common
method in threshold segmentation, but with the increase of the number of threshold …
method in threshold segmentation, but with the increase of the number of threshold …