Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks
Many population-dependent solutions have recently been suggested. Despite their
widespread adoption in many applications, we are still researching using suggested …
widespread adoption in many applications, we are still researching using suggested …
Binary improved white shark algorithm for intrusion detection systems
Intrusion Detection (ID) is an essential task in the cyberattacks domain built to secure
Internet applications and networks from malicious actors. The main shortcoming of the …
Internet applications and networks from malicious actors. The main shortcoming of the …
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications
Y Zhang - Swarm and Evolutionary Computation, 2023 - Elsevier
Particle swarm optimization (PSO) is a very simple and effective metaheuristic algorithm.
Search operators with similar behavior may lead to the loss of diversity in the search space …
Search operators with similar behavior may lead to the loss of diversity in the search space …
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems
BH Abed-alguni, D Paul - Soft Computing, 2022 - Springer
Abstract The island Cuckoo Search (i CSPM) algorithm is a variation of Cuckoo Search that
uses the island model and highly disruptive polynomial mutation to solve optimization …
uses the island model and highly disruptive polynomial mutation to solve optimization …
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection
This paper proposes new improved binary versions of the Sine Cosine Algorithm (SCA) for
the Feature Selection (FS) problem. FS is an essential machine learning and data mining …
the Feature Selection (FS) problem. FS is an essential machine learning and data mining …
Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems
M Barhoush, BH Abed-alguni… - The Journal of …, 2023 - Springer
The salp swarm algorithm (SSA) is a well-known optimization algorithm that is increasingly
being utilized to solve many sorts of optimization problems. However, SSA may converge to …
being utilized to solve many sorts of optimization problems. However, SSA may converge to …
Improved Salp swarm algorithm for solving single-objective continuous optimization problems
Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …
Discrete Jaya with refraction learning and three mutation methods for the permutation flow shop scheduling problem
NA Alawad, BH Abed-alguni - The Journal of Supercomputing, 2022 - Springer
Abstract The Permutation Flow Shop Scheduling Problem (PFSSP) is an interesting
scheduling problem that has many real-world applications. It has been widely used as a …
scheduling problem that has many real-world applications. It has been widely used as a …
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning
L Cheng, A Kalapgar, A Jain, Y Wang, Y Qin… - Neural Computing and …, 2022 - Springer
Hybrid cloud computing enables enterprises to get the best of both private and public cloud
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …
A discrete differential evolution with local search particle swarm optimization to direct angle and aperture optimization in IMRT treatment planning problem
Intensity-modulated radiation therapy is a well-known technique for treating cancer patients
worldwide. A treatment plan in this technique requires decision-making for three main …
worldwide. A treatment plan in this technique requires decision-making for three main …