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In this study, we developed an original distributed approach based on evolutionary cooperative algorithms driven by agents' communication.
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.
In order to be able to solve the optimization model for realistic large systems, a metaheuristic approach based on evolutionary algorithms is developed.
A multi-objective optimization approach based on evolutionary algorithms is used to find the Pareto surface that minimizes the mass and maximizes the damping.
We propose a Visual Learning approach based on evolutionary computation that solves the first two tasks simultaneously using a single evolving process.
This work presents a new approach, based on evolutionary polynomial regression (EPR), for developing a simple and easy-to-use formula for prediction of ultimate pure bending of steel circular tubes.
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Novel control approaches based on evolutionary mismatches – A species that evolves in one part of the world is unlikely to be perfectly suited to conditions within some other area that it invades.
To unravel possible molecular mechanisms of functional effects of this mutation, we utilized multiple computational approaches based on evolutionary conservation, structural modelling and molecular dynamics simulations.
Specifically, the hybrid intelligent approaches based on evolutionary algorithms (EAs) are widely used in various fields due to the efficiency and robustness of EAs.
In at least one case (Bt resistance in crop pests), there has been explicit development of management approaches based on evolutionary principles.
A consensus does seem to be emerging about the superiority of approaches based on evolutionary studies over best bidirectional BLAST hits (see, however, the recent work of Duthil et al. [ 46] about the specific case of fungi).
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CEO of Professional Science Editing for Scientists @ prosciediting.com