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Titlebook: Genetic Programming; 24th European Confer Ting Hu,Nuno Lourenço,Eric Medvet Conference proceedings 2021 Springer Nature Switzerland AG 2021

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Quality Diversity Genetic Programming for Learning Decision Tree Ensembles diverse. In this paper, we describe a strategy for applying QD concepts to the generation of decision tree ensembles by optimizing collections of trees for both individually accurate and collectively diverse predictive behavior. We compare three variants of this QD strategy with two existing ensemb
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Towards Incorporating Human Knowledge in Fuzzy Pattern Tree Evolutionnsidered a robust Explainable Artificial Intelligence (XAI) system. Experimental results show FGE achieves competitive results against state of the art black box methods on a set of real world benchmark problems. Various selection methods were investigated to see which was best for finding smaller,
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Evolutionary Neural Architecture Search Supporting Approximate Multipliersarchitectures for various challenging data sets and reduce the designer’s effort. The NAS methods utilizing multi-objective evolutionary algorithms are especially useful when the objective is not only to minimize the network error but also to minimize the number of parameters (weights) or power cons
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On the Influence of Grammars on Crossover in Grammatical Evolutionapped to their respective phenotypes using a Backus-Naur form grammar. This article studies how different types of grammars affect the resulting individuals of a ripple crossover. We distinguish different grammars based on the expected number of non-terminals chosen when mapping genotype codons to p
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Evolution of Complex Combinational Logic Circuits Using Grammatical Evolution with SystemVerilogexample, a 64-bit . 64-bit add-shift multiplier problem has . test cases) and low level that hardware works at: a circuit to implement 64-bit . 64-bit add-shift multiplier would require approximately 33,234 gates when synthesized using the powerful Yosys Open SYnthesis Suite tool. We use Grammatical
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