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Titlebook: Applications of Evolutionary Computation; 24th International C Pedro A. Castillo,Juan Luis Jiménez Laredo Conference proceedings 2021 Sprin

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Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecumolecules towards specific features and applications. In this work, we expand on the latent space navigation approach, where molecules are optimized by operating in their latent representation inside a deep auto-encoder, by introducing multi-objective evolutionary algorithms (MOEAs), and benchmarkin
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A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shoantity, and first product lead time. Using real-world inspection data, we demonstrate the ability to model product quality transformations during assembly jobs via genetic programming by considering the quality attributes of subparts. We investigate integrating quality transformation models into an
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Adaptive Covariance Pattern Searchew candidate solution by means of an archive of potential moves, named pattern. This pattern is generated by a basis of vectors that span the domain where the function to optimise is defined..The present article proposes an adaptive implementation of pattern search that performs, at run-time, a fitn
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Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-Based Soft Robots The sensory apparatus, i.e., the location on the body of the sensors and the kind of information the sensors are able to capture, has a great impact on the agent ability of exhibiting complex behaviors. While in nature, the sensory apparatus is the result of a long-lasting evolution, in artificial
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