A hyperheuristic with Q-learning for the multiobjective energy-efficient distributed blocking flow shop scheduling problem
F Zhao, S Di, L Wang - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
Carbon peaking and carbon neutrality, which are the significant national strategy for
sustainable development, have attracted considerable attention from production enterprises …
sustainable development, have attracted considerable attention from production enterprises …
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 …
A pareto-based discrete jaya algorithm for multiobjective carbon-efficient distributed blocking flow shop scheduling problem
F Zhao, H Zhang, L Wang - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Carbon peaking and carbon neutrality, which are significant strategies for national
sustainable development, have attracted enormous attention from researchers in the …
sustainable development, have attracted enormous attention from researchers in the …
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 …
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 …
A cooperative scatter search with reinforcement learning mechanism for the distributed permutation flowshop scheduling problem with sequence-dependent setup …
F Zhao, G Zhou, L Wang - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
The integration of reinforcement learning technology into meta-heuristic algorithms to
address complex combinatorial optimization problems has attracted much attention in recent …
address complex combinatorial optimization problems has attracted much attention in recent …
Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem
F Alkhateeb, BH Abed-alguni, MH Al-rousan - The Journal of …, 2022 - Springer
The job shop scheduling problem (JSSP) is a popular NP-hard scheduling problem that
simulates the scheduling problems of different real-world applications in fields such as …
simulates the scheduling problems of different real-world applications in fields such as …
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 …
Job-shop scheduling with limited flexible workers considering ergonomic factors using an improved multi-objective discrete Jaya algorithm
S Usman, C Lu - Computers & Operations Research, 2024 - Elsevier
Abstract Job-Shop Scheduling Problem (JSP) with worker flexibility has gained significant
attention in recent years, offering cost reduction and improved efficiency by limiting the …
attention in recent years, offering cost reduction and improved efficiency by limiting the …
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 …