Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Abstract: We introduce an optimization assisted by a neural network (ONN) predictor to the electromagnetic community. ONN belongs to the class of the surrogate model-based optimization approaches, and ...
Given that extreme weather disturbances frequently threaten the safe and stable operation of new power systems, the uncertainty of source–load forecasting has become a particular bottleneck affecting ...
EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. Evolutionary algorithms forms a family of ...
Abstract: This paper presents the hierarchical Q-learning path planning (HQPP) architecture for solving the cooperative tracking control problem of multi-agent systems (MASs) with lumped uncertainties ...
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) ...
In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
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