Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

Abstract: The traditional genetic algorithm tends to fall into local optimality when solving large scale satellite mission planning problem, which makes it difficult to attain better planning results.

Linear or categorical activity from neurons in the gustatory cortex is necessary for network dynamics and performance.

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Multi-objective optimization uses mathematical models to describe scenarios of limited water availability and develop algorithms to find the optimal allocation. Wang et al. (2008)developed an ...