Parameter setting of meta-heuristic algorithms: a new hybrid method based on DEA and RSM. [PDF]
Shadkam E.
europepmc +1 more source
Towards Meta-learning over Data Streams [PDF]
Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Pfahringer, Bernhard +3 more
core
Estimating the monthly pan evaporation with limited climatic data in dryland based on the extended long short-term memory model enhanced with meta-heuristic algorithms. [PDF]
Fu T, Li X.
europepmc +1 more source
Hybrid Meta-Heuristic Algorithms for Optimal Sizing of Hybrid Renewable Energy System: A Review of the State-of-the-Art. [PDF]
Bouaouda A, Sayouti Y.
europepmc +1 more source
Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms
Reconfiguration of the power distribution system allows for minimal real power losses and compliance with the required bus voltage limits of the power system.
Umut Emre Uzun +2 more
core +1 more source
A review on the cosine modulated filter bank studies using meta-heuristic optimization algorithms
There has been a significant increase in the number of designs based on optimization techniques as the usage areas of computers have increased day by day.
Karaboğa, Nurhan, Özdemir, Gökçen
core +1 more source
Trajectory Planning of a 6D Robot based on Meta Heuristic Algorithms
In this work, several established meta-heuristics (MHs) were employed for solving 6-DOF robot trajectory planning. A fourth order polynomial function is used to represent a motion path of the robot from initial to final points while an optimisation ...
Wichapong Kritsada +3 more
doaj +1 more source
Comparison of eFPA with meta-heuristic-based strategies.
Comparison of eFPA with meta-heuristic-based strategies.
Kamal Z. Zamli (3340377) +3 more
core +1 more source
Sustainable irrigation planning using meta-heuristic algorithms
The present study proposes a novel, systematic, multi-algorithm, benchmark-based screening framework. Ten Meta-Heuristic Algorithms (MHAs), namely, Sand Cat Swarm Algorithm (SCSA), Chaotic Sand Cat Swarm Algorithm (CSCSA), White Shark Algorithm (WSA ...
Deepjyoti Deb +4 more
doaj +1 more source
The precise estimation of solar PV cell parameters has become increasingly important as solar energy deployment expands. Due to the intricate and nonlinear characteristics of solar PV cells, meta-heuristic algorithms show greater promise than traditional
Manish Kumar Singla +6 more
doaj +1 more source

