Optimization of water distribution systems using genetic algorithms: A review

S Parvaze, R Kumar, JN Khan, N Al-Ansari… - … Methods in Engineering, 2023 - Springer
Water distribution networks are crucial for supplying consumers with quality and adequate
water. A water distribution system comprises connected hydraulic components which ensure …

R-GWO: Representative-based grey wolf optimizer for solving engineering problems

M Banaie-Dezfouli, MH Nadimi-Shahraki… - Applied Soft …, 2021 - Elsevier
The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a
sufficient performance for solving various optimization problems. However, it suffers from low …

Task scheduling for mobile edge computing using genetic algorithm and conflict graphs

AA Al-Habob, OA Dobre, AG Armada… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we consider parallel and sequential task offloading to multiple mobile edge
computing servers. The task consists of a set of inter-dependent sub-tasks, which are …

A review of metaheuristic algorithms for optimizing 3D well-path designs

K Biswas, PM Vasant, JAG Vintaned… - Archives of Computational …, 2021 - Springer
Due to a variety of possible good types and so many complex drilling variables and
constraints, optimization of the trajectory of a complex wellbore is very challenging. There …

Multi-objective optimization of ANN-based PSA model for hydrogen purification from steam-methane reforming gas

X Yu, Y Shen, Z Guan, D Zhang, Z Tang, W Li - International Journal of …, 2021 - Elsevier
Abstract A 4-bed-8-step pressure swing adsorption (PSA) process has been developed to
produce high-purity hydrogen from the steam methane reforming (SMR) gas mixture. The …

A hybrid multi-objective optimization approach for energy-absorbing structures in train collisions

H Zhang, Y Peng, L Hou, G Tian, Z Li - Information Sciences, 2019 - Elsevier
Energy-absorbing structure, which is the most effective and direct protection component, is
installed at the front of the head car. However, structural optimization problems of this …

An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization

NH Awad, MZ Ali, R Mallipeddi, PN Suganthan - Information Sciences, 2018 - Elsevier
Contemporary real-world optimization benchmarks are subject to many constraints and are
often high-dimensional problems. Typically, such problems are expensive in terms of …

Virtual inertia control of isolated microgrids using an NN-based VFOPID controller

V Skiparev, K Nosrati, A Tepljakov… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Reduction in system inertia and maintaining the frequency at the nominal value is a staple of
today's and future power systems since their operation, stability, and resiliency are degraded …

Addressing constrained engineering problems and feature selection with a time-based leadership salp-based algorithm with competitive learning

M Qaraad, S Amjad, NK Hussein… - Journal of …, 2022 - academic.oup.com
Like most metaheuristic algorithms, salp swarm algorithm (SSA) suffers from slow
convergence and stagnation in the local optima. The study develops a novel Time-Based …

A neutrosophic recommender system for medical diagnosis based on algebraic neutrosophic measures

M Ali, ND Thanh, N Van Minh - Applied Soft Computing, 2018 - Elsevier
Medical diagnosis is a procedure for the investigation of a person's symptoms on the basis
of disease. This problem has been investigated and applied to personal healthcare systems …