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Multi-criteria decision making for material and process parameter selection for desired surface quality and dimensional accuracy is investigated using an evolutionary computation method based on particle swarm optimization (PSO).
In this article, an attempt has been made to realize hardware friendly powers-of-two FIR filter by using an evolutionary computation, called Self-organizing Random Immigrants Genetic Algorithm (SORIGA).
One potential solution to the architecture selection problem in NN is to evolve the NN architecture for each data set analyzed using an evolutionary computation approach.
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A multidisciplinary design optimization is implemented by using a hybrid evolutionary computation; data mining is carried out by using a scatter plot matrix to efficiently perceive the entire design space.
We implement CMA-ES using Distributed Evolutionary Algorithms in Python (DEAP) [20], which is an evolutionary computation framework.
Jin et al. further propose an evolutionary computation method, called GAIA, to mine discriminative subgraph patterns using a randomized searching strategy [34].
We propose an evolutionary computation approach to design a fast and secure block cipher using non-uniform second-order cellular automata.
This work proposes an Evolutionary Computation approach that enables Path Computation Element (PCE) or Software-defined Network (SDN) controllers to optimize label switching paths for congestion avoidance while using at the most three labels to configure each label switching path.
This article presents an evolutionary computation approach for increasing connectivity in disaster scenarios.
It is based on an evolutionary computation approach that integrates genetic algorithm and genetic programming operators.
For the solution of this optimization problem we chose an evolutionary computation approach and we developed an evolutionary algorithm.
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