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We utilized an explicit evolutionary method of HGT detection based on phylogenetic tree reconstructions and reconciliations to detect HGT16.
In this paper new evolutionary method of solving multi-objective optimization problems is presented.
Also, Ant Colony Optimization (ACO) is an important evolutionary method for solving various optimization problems.
First, we proposed an evolutionary method for intrinsic immune circuit design.
In this paper, an evolutionary method has been proposed to design digital IIR filters.
The evolutionary method is detailed, and optimal loading chute profiles are generated using an evolutionary strategy.
The specific objective is to develop a strategy based on an evolutionary method.
This evolutionary method is a generation of articulation angles using a particle swarm optimization (PSO).
The evolutionary method can readily solve both large and small problems.
Then, we propose an evolutionary method and compare its performance with the exact method.
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Experimental results show that the co-evolutionary method obtains similar or better results than the other approaches, requiring far less training epochs and thus, reducing running time.
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