EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis

M Abdel-Basset, R Mohamed, M Abouhawwash… - Expert systems with …, 2021 - Elsevier
With the significant growth of multiprocessor systems (MPS) to deal with complex tasks and
speed up their execution, the energy generated as a result of this growth becomes one of …

METSM: Multiobjective energy-efficient task scheduling model for an edge heterogeneous multiprocessor system

Q Jiang, X Xin, L Yao, B Chen - Future Generation Computer Systems, 2024 - Elsevier
Along with the growth of computing requirements, edge devices, such as satellites and
unmanned aerial vehicles, are equipped with heterogeneous multiprocessor systems to …

Energy-aware whale optimization algorithm for real-time task scheduling in multiprocessor systems

M Abdel-Basset, D El-Shahat, K Deb… - Applied Soft …, 2020 - Elsevier
Abstract The growth of Multiprocessing Systems (MPS) has become a necessity for dealing
with complex tasks and speeding up their execution. Increasing the number of processing …

Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction

W Han, H Li, M Gong, J Li, Y Liu, Z Wang - Swarm and Evolutionary …, 2022 - Elsevier
Particle swarm optimization (PSO) has been successfully applied to the sparse
reconstruction problem and achieved good results. With the dimension of the problem …

Integrated optimization of storage location assignment and crane scheduling in an unmanned slab yard

G Peng, Y Wu, C Zhang, W Shen - Computers & Industrial Engineering, 2021 - Elsevier
In order to respond quickly to diverse needs of customers, iron and steelmaking industries
have to improve the efficiency of their logistics operations. Storage location assignment and …

Asynchronous evolution of deep neural network architectures

J Liang, H Shahrzad, R Miikkulainen - Applied Soft Computing, 2024 - Elsevier
Many evolutionary algorithms (EAs) take advantage of parallel evaluation of candidates.
However, if evaluation times vary significantly, many worker nodes (ie, compute clients) are …

On-orbit remote sensing image processing complex task scheduling model based on heterogeneous multiprocessor

Q Jiang, H Wang, Q Kong, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Nowadays, the proliferation of small satellites brings the skyrocketing rise in space data,
especially the shift to on-orbit computing needs. On one hand, with the increasing volume of …

An Island Model based on Stigmergy to solve optimization problems

GR Duarte, AC de Castro Lemonge, LG da Fonseca… - Natural Computing, 2021 - Springer
Island Model (IM) is an alternative often used to parallel Evolutionary Algorithms (EA). In IM,
the population is distributed between islands that evolve their solutions in parallel …

Multi-objective optimization of fractal-tree microchannels in a rectangular heat sink by a distributed-adaptive genetic algorithm

F Yu, W Ding, X Luo, B He, U Hampel - … Journal of Heat and Mass Transfer, 2023 - Elsevier
Recently, an innovative heat dissipation technique of fractal-tree structures has attracted
attention due to its excellent high heat transfer efficiency and low pumping power. Though …

Parallel execution combinatorics with metaheuristics: Comparative study

A Abdelhafez, G Luque, E Alba - Swarm and Evolutionary Computation, 2020 - Elsevier
Optimization arises everywhere in industrial and engineering fields, with complex and time-
consuming problems to be solved. Exact search techniques cannot afford practical solutions …