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 …

Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks

S Mahajan, L Abualigah, AK Pandit, M Altalhi - Soft Computing, 2022 - Springer
Many population-dependent solutions have recently been suggested. Despite their
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 …

Binary improved white shark algorithm for intrusion detection systems

NA Alawad, BH Abed-alguni, MA Al-Betar… - Neural Computing and …, 2023 - Springer
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 …

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 …

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 …

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 …

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 …

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 …

Improved Salp swarm algorithm for solving single-objective continuous optimization problems

BH Abed-Alguni, D Paul, R Hammad - Applied Intelligence, 2022 - Springer
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 …