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 …

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 …

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 …

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 …