Titlebook: Advances in Artificial Life and Evolutionary Computation; 9th Italian Workshop Clara Pizzuti,Giandomenico Spezzano Conference proceedings 2

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The Inverse Problem for?Neural Networkspidly growing in the last years. In this paper we report the first steps of an ongoing investigation on the encapsulation of the Belousov-Zhabotinsky oscillating reaction inside phospholipid vesicles (liposomes). The preparation of liposomes encapsulating water soluble molecules can be efficiently c

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https://doi.org/10.1007/978-3-031-79943-3 parameters..In this paper, we use a multi-objective parameter tuning method called EMOPaT?(Evolutionary Multi-Objective Parameter Tuning) to optimize PSO when dealing with a real-world optimization task: the localization of an object acquired by a laser scanner in the form of a point cloud..We want

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Shobha K. Bhatia,Jennifer L. Smithew approach, each fish has its behaviour executed within an individual thread, of which creation, execution and death are managed by the runtime environment and the operating system. Five well-known benchmark functions were used in order to evaluate the speed-up of the MTFSS in comparison with the s

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Bridging the Gap between Life and Physicsposed. Specifically, the new Cellular Automata numerical model SCIARA-fv3 for simulating lava flows at Mt Etna (Italy) and Parallel Genetic Algorithms (PGA) have been applied for optimizing protective measures construction by morphological evolution. A case study is considered, where PGA are applied