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Tsetsarkin, K. A. et al. Multi-peaked adaptive landscape for chikungunya virus evolution predicts continued fitness optimization in Aedes albopictus mosquitoes.
Genetic fitness optimization using small populations or small population updates across generations generally suffers from randomly diverging evolutions.
We propose a notion of highly probable fitness optimization through feasible evolutionary computing runs on small-size populations.
Inclusion of multidimensional density dependence renders the problem intractable through fitness optimization principles.
This makes Rubisco an important model system for studying the dynamics of protein fitness optimization on the evolutionary landscape.
The resulting multi-dimensional eco-evolutionary feedback results in nontrivial frequency-dependent selection that cannot be analyzed by traditional fitness optimization methods (Mylius and Diekmann 1995; Heino et al. 1998).
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The method of dual fitness alternating optimization functions was used for conducting local heat energy balance and single layer thermal load difference.
Open image in new window Fig. 3 Fitness function optimization over 100 iterations.
However, optimizing catalysis demands navigation through complex and rugged fitness landscapes, with optimization trajectories often leading to strong diminishing returns and dead-ends.
The novel imperialist competitive algorithm (ICA) has presented outstanding fitness on various optimization problems.
The differences between calculated outlet pressures and the reference values are considered as an error or fitness function of optimization tool.
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