Researchers have developed a modified particle swarm optimization algorithm that outperforms eight competing heuristics in ...
Researchers have fused an improved particle swarm optimization algorithm with simulated annealing to build a hybrid portfolio ...
Many living and physical systems such as cell aggregates, tissues, or bacterial colonies behave as unconventional systems of particles that are strongly constrained by volume exclusion and shape ...
Control of complex flows plays a central role in many processes, where the typical parameter space for optimization is huge. Breakthroughs in direct numerical simulation over the last century have ...
Coverage path planning (CPP) for target search by autonomous unmanned vehicle (AUV) involves two crucial aspects: (1) the sonar performance of the AUV is sensitive to ocean environment, such as ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This research introduces a machine learning-centric approach to replicate olfactory ...
Abstract: Large cities have experienced massive penetration of solar photovoltaic energy systems. This comes along with novel challenges in power control as far as the economy, energy exchange, and ...
Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi ...
Faculty of Engineering Sciences, Kyushu University, Kasuga, Fukuoka 816-8580, Japan Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) ...
With the rapid development of the Internet of Things (IoT), the curse of dimensionality becomes increasingly common. Feature selection (FS) is to eliminate irrelevant and redundant features in the ...
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