[HTML][HTML] Decision support systems for agriculture 4.0: Survey and challenges
Undoubtedly, high demands for food from the world-wide growing population are impacting
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …
Top ten intelligent algorithms towards smart manufacturing
Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …
[PDF][PDF] COMPARATIVE ASSESSMENT OF LIGHT-BASED INTELLIGENT SEARCH AND OPTIMIZATION ALGORITHMS.
Classical optimization and search algorithms are not effective for nonlinear, complex, dynam‑
ic large-scaled problems with incomplete informa‑tion. Hence, intelligent optimization …
ic large-scaled problems with incomplete informa‑tion. Hence, intelligent optimization …
Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control
L Fan, X Ma - Scientific Reports, 2022 - nature.com
Maximum power point tracking (MPPT) is an effective method to improve the power
generation efficiency and power supply quality of a proton exchange membrane fuel cell …
generation efficiency and power supply quality of a proton exchange membrane fuel cell …
Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions
As the world population is expected to touch 9.73 billion by 2050, according to the Food and
Agriculture Organization (FAO), the demand for agricultural needs is increasing …
Agriculture Organization (FAO), the demand for agricultural needs is increasing …
Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels
This article presents a methodology to solve a one-dimensional steady-state nonlinear
reactive transport model (RTM) that is meant for fluid and solute transport model of soft …
reactive transport model (RTM) that is meant for fluid and solute transport model of soft …
Classifying Metaheuristics: Towards a unified multi-level classification system
Metaheuristics provide the means to approximately solve complex optimisation problems
when exact optimisers cannot be utilised. This led to an explosion in the number of novel …
when exact optimisers cannot be utilised. This led to an explosion in the number of novel …
Whale optimization algorithm based MPPT control of a fuel cell system
Renewable energy sources have provided a great contribution to global energy demand;
However, their intermittent characteristics can cause sustainability and efficiency problems …
However, their intermittent characteristics can cause sustainability and efficiency problems …
Trajectory planning of autonomous mobile robots applying a particle swarm optimization algorithm with peaks of diversity
PB Fernandes, RCL Oliveira, JVF Neto - Applied Soft Computing, 2022 - Elsevier
This paper presents a new quantum-behaved particle swarm optimization (QPSO) algorithm
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …
for the trajectory planning task of mobile robotic vehicles in static and dynamic environments …
Review of metaheuristics inspired from the animal kingdom
EN Dragoi, V Dafinescu - Mathematics, 2021 - mdpi.com
The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …