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Titlebook: Genetic Programming; 19th European Confer Malcolm I. Heywood,James McDermott,Kevin Sim Conference proceedings 2016 Springer International P

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樓主: 短暫
11#
發(fā)表于 2025-3-23 13:10:29 | 只看該作者
12#
發(fā)表于 2025-3-23 17:30:46 | 只看該作者
Evolutionary Approximation of Edge Detection Circuitsors are then composed and their quality is evaluated using a database of images. The paper reports interesting edge detectors showing a good tradeoff between the quality of edge detection and implementation cost.
13#
發(fā)表于 2025-3-23 19:23:38 | 只看該作者
Geometric Semantic Genetic Programming Is Overkillcompare the proposed algorithm to GSGP on a?set of symbolic regression, Boolean function synthesis and classifier induction problems. The proposed algorithm is superior to GSGP in terms of training-set fitness, size of produced programs and computational cost, and generalizes on test-set similarly to GSGP.
14#
發(fā)表于 2025-3-23 23:27:22 | 只看該作者
15#
發(fā)表于 2025-3-24 03:10:57 | 只看該作者
16#
發(fā)表于 2025-3-24 09:10:30 | 只看該作者
https://doi.org/10.1007/978-3-663-13662-0alculate the fitness of programs. In empirical comparison to several reference methods in categorical domains, SFIMX attains higher success rate of synthesizing correct programs within a given computational budget.
17#
發(fā)表于 2025-3-24 12:45:23 | 只看該作者
18#
發(fā)表于 2025-3-24 15:23:41 | 只看該作者
19#
發(fā)表于 2025-3-24 19:42:09 | 只看該作者
Das computergestützte Gruppenged?chtnissent a first attempt for generating an automatic selection of heuristics in order to improve SMT solver efficiency and to allow end-users to take better advantage of solvers when unknown problems are faced. Evidence of improvement is shown and the basis for future works with evolutionary and/or learning-based algorithms are raised.
20#
發(fā)表于 2025-3-25 01:42:28 | 只看該作者
Surrogate Fitness via Factorization of Interaction Matrixalculate the fitness of programs. In empirical comparison to several reference methods in categorical domains, SFIMX attains higher success rate of synthesizing correct programs within a given computational budget.
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