Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects
Lake thermal dynamics have been considerably impacted by climate change, with potential
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …
adverse effects on aquatic ecosystems. To better understand the potential impacts of future …
A comprehensive review of bio-inspired optimization algorithms including applications in microelectronics and nanophotonics
The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
With the development of Artificial Intelligence, Internet of Things and Big Data, intelligent
manufacturing has become a new and popular trend in manufacturing industries …
manufacturing has become a new and popular trend in manufacturing industries …
MGSFformer: A multi-granularity spatiotemporal fusion transformer for air quality prediction
Air quality spatiotemporal prediction can provide technical support for environmental
governance and sustainable city development. As a classic multi-source spatiotemporal …
governance and sustainable city development. As a classic multi-source spatiotemporal …
A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources.
The traditional optimal power flow problem (OPF) usually centers on thermal generators,
which have limited fuel for power generation, while emissions from the network system are …
which have limited fuel for power generation, while emissions from the network system are …
A novel adaptive algorithm of particle swarm optimization based on the human social learning intelligence
E Jiyue, J Liu, Z Wan - Swarm and Evolutionary Computation, 2023 - Elsevier
A novel adaptive algorithm of particle swarm optimization is proposed in this paper, where
the learning strategy is designed by simulating features of human social learning …
the learning strategy is designed by simulating features of human social learning …
Dam**-assisted evolutionary swarm intelligence for industrial iot task scheduling in cloud computing
Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of
data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing …
data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing …
Choice of benchmark optimization problems does matter
Various benchmark sets have already been proposed to facilitate comparison between
metaheuristics, or Evolutionary Algorithms. During the competition, typically algorithms are …
metaheuristics, or Evolutionary Algorithms. During the competition, typically algorithms are …
[HTML][HTML] A comparative analysis of global optimization algorithms for surface electromyographic signal onset detection
Surface Electromyography (sEMG) is a technique for measuring muscle activity by recording
electrical signals from the surface of the body. It is widely used in fields such as medical …
electrical signals from the surface of the body. It is widely used in fields such as medical …
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations
Numerical metaheuristics are often tested on mathematical problems collected into a
benchmark set. There are many benchmark sets, but the number of problems in a particular …
benchmark set. There are many benchmark sets, but the number of problems in a particular …