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This paper proposes a distributed discretization algorithm for Big Data analytics based on evolutionary optimization.
We discuss a neuroscience-inspired dynamic architecture (NIDA) and associated design method based on evolutionary optimization.
In the following part of this section, we shall detail and motivate both the adopted linear MUD criterion and the channel estimation strategy based on evolutionary optimization.
The proposed Fuzzy CA (FCA) model adopts a data-driven approach, based on evolutionary optimization, which allows incorporating knowledge from real wildfires in order to enhance its accuracy.
We chose commercial software that is similar in nature to the proposed procedure, namely, it treats the objective function as a black box and the search is based on evolutionary optimization techniques.
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Linkage analysis and map construction of SNPs generated by GBS involved use of MultiPoint (http://www.multiqtl.com) based on reduction of the mapping problem to the traveler salesperson and solution heuristic algorithms based on Evolutionary Strategy optimization (Korol 2009; Mester et al. 2003, 2004).
Deb and Sinha (October, 2008) proposed a bilevel multi-objective optimization algorithm based on evolutionary multi-objective optimization (EMO) principles and discussed the issues involved in solving such a problem.
A solution considering real-time systems was developed based on Evolutionary Multi-Objective Optimization techniques.
This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on reprogrammable devices.
This paper presents three memetic algorithms to solve the spread spectrum radar polyphase code design problem, based on Evolutionary Programming, Particle Swarm Optimization and Differential Evolution, respectively.
Global optimization based on evolutionary algorithms can be used as the important component for many engineering optimization problems.
More suggestions(15)
based on evolutionary algorithm
based on gradient optimization
based on mathematical optimization
based on evolutionary process
based on spectral optimization
based on discrete optimization
based on nonlinear optimization
based on evolutionary change
based on stochastic optimization
based on evolutionary analysis
based on evolutionary relationship
based on evolutionary game
based on evolutionary search
based on evolutionary distance
based on evolutionary strategy
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