Estimation of Distribution Algorithms (EDAs) have the task to estimate the distribution model of samples. Copula Estimation of Distribution Algorithms (cEDAs) introduce the copula theory into EDAs which divide the mul...
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This article proposes a formation control scheme based on L1 guidance law for fixed wing unmanned aerial vehicle clusters while considering collision avoidance issues between them. The fixed wing aircraft cluster adop...
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Finding feasible solution for a nonlinear equations is a very challenging problem and generally needs a high computational efforts. In this paper, a new swarm intelligent algorithm, social cognitive optimization algor...
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Structural optimization of Lennard-Jones clusters (LJ) plays an important role in theoretical analysis of physics and chemistry due to the exponential increased local optima. In this paper, a new evolutionary algorith...
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Hungry particle swarm optimization (HPSO) is a new novel variant of particle swarm optimization that incorporating the living pressure for each particle. In HPSO, total particles have three different movement motions ...
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With the continuous development of information technology, target association technology has been more and more widely used in military and civilian fields. How to achieve effective and reliable target data associatio...
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With the development of science and technology, target tracking technology has been widely used in many fields. Through target tracking technology, the accurate estimation of target state can be obtained, and the perc...
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Data compression and dimensionality reduction play an essential role in machine learning. In recent years, due to the relatively high dimensionality of data, dimensionality reduction based on vectors cannot be well pr...
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In order to save the communication bandwidth between the fixed-wing unmanned aerial vehicles (UAVs), a cooperative formation control algorithm based on event-triggered communication mechanism is proposed in this paper...
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Stochastic particle swarm optimization is a novel variant of particle swarm optimization that convergent to the global optimum with probability one. However, the local search capability is not always well in some case...
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