Results 71 to 80 of about 95,995 (294)
Feature selection is an important task to improve the classifier’s accuracy and to decrease the problem size. A number of methodologies have been presented for feature selection problems using metaheuristic algorithms.
Arfan Ali Nagra +6 more
doaj +1 more source
A random elite ensemble learning swarm optimizer for high-dimensional optimization
High-dimensional optimization problems are increasingly pervasive in real-world applications nowadays and become harder and harder to optimize due to increasingly interacting variables.
Qiang Yang +5 more
doaj +1 more source
Multi-objective particle swarm optimization for channel selection in brain-computer interfaces [PDF]
This paper presents a novel application of a multi-objective particle swarm optimization (MOPSO) method to solve the problem of effective channel selection for Brain-Computer Interface (BCI) systems.
Gan, JQ, Hasan, BAS
core
Urban Swarms: A new approach for autonomous waste management [PDF]
Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions.
Alfeo, Antonio Luca +11 more
core +2 more sources
(Old version of) Wax, Wings, and Swarms: Insects and their Products as Art Media
Every facet of human culture is in some way affected by our abundant, diverse insect neighbors. Our relationship with insects has been on display throughout the history of art, sometimes explicitly, but frequently in inconspicuous ways. This is because artists can depict insects overtly, but they can also allude to insects conceptually, or use insect ...
openaire +4 more sources
Elinvar Materials: Recent Progress and Challenges
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
Multiobjective Particle Swarm Optimization: A Survey of the State-of-the-art
In the last decade, multiobjective Particle Swarm Optimization (MOPSO) has been observed as one of the most powerful optimization algorithms in solving Multiobjective Optimization Problems (MOPs). Nowadays, it is becoming increasingly clear that MOPSO can handle complex MOPs based on the competitive-cooperative framework.
null Zhen Li +2 more
openaire +2 more sources
Random Drift Particle Swarm Optimization Algorithm Based on Riemannian Manifolds
In this paper, we propose the Manifold Random Drift Particle Swarm Optimization (MRDPSO) algorithm for matrix optimization on smooth manifolds. Conventional swarm intelligence methods generally converge prematurely in constrained domains.
Yeerjiang Halimu +3 more
doaj +1 more source
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé +5 more
wiley +1 more source
Generative sound art as poeitic poetry for an information society [PDF]
This paper considers computer music in relation to broader society and asks what algorithmic composition can learn from the metaphysical shift which is happening in the so-called information societies.
Eldridge, Alice
core +1 more source

