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Titlebook: Genetic and Evolutionary Computation — GECCO 2003; Genetic and Evolutio Erick Cantú-Paz,James A. Foster,Julian Miller Conference proceeding

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樓主: Corrugate
51#
發(fā)表于 2025-3-30 08:43:38 | 只看該作者
52#
發(fā)表于 2025-3-30 15:56:33 | 只看該作者
53#
發(fā)表于 2025-3-30 19:15:40 | 只看該作者
Population Sizing for the Redundant Trivial Voting Mappings it decreases if the optimal solution is underrepresented. The results show that redundant representations like the TV mapping do not increase GA performance in general. Higher performance can only be achieved if there is specific knowledge about the structure of the optimal solution that can beneficially be used by the redundant representation.
54#
發(fā)表于 2025-3-30 20:59:49 | 只看該作者
Non-stationary Function Optimization Using Polygenic Inheritancef comparisons performed. We show that Polygenic inheritance enjoys all the advantages normally associated with diploid structures, with none of the usual costs, such as complex crossover mechanisms, huge mutation rates or ambiguity in the mapping process.
55#
發(fā)表于 2025-3-31 04:13:10 | 只看該作者
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribtrast, the objective of EDAs is to estimate the correlations between loci and exploit this information during exploration. This may lead to an effective . of mutual information in the exploration distribution, what we define ..
56#
發(fā)表于 2025-3-31 08:25:01 | 只看該作者
Alpha-Synuclein in Cerebrospinal Fluidimization problem. This paper focuses on the design of parallel EDAs. More specifically, the paper describes a method for parallel construction of Bayesian networks with local structures in form of decision trees in the Mixed Bayesian Optimization Algorithm. The proposed Multithreaded Mixed Bayesian
57#
發(fā)表于 2025-3-31 09:55:57 | 只看該作者
https://doi.org/10.1007/978-3-030-46547-6promising solutions to generate a new population of solutions. We call it Reinforcement Learning Estimation of Distribution Algorithm (RELEDA). For the estimation of the joint probability distribution we consider each variable as univariate. Then we update the probability of each variable by applyin
58#
發(fā)表于 2025-3-31 16:32:18 | 只看該作者
C. Ballard,C. Morris,M. Piggott anything easier. This paper applies hBOA to two important classes of real-world problems: Ising spin-glass systems and maximum satisfiability (MAXSAT). The paper shows how easy it is to apply hBOA to real-world optimization problems—in most cases hBOA can be applied without any prior problem analys
59#
發(fā)表于 2025-3-31 20:02:49 | 只看該作者
60#
發(fā)表于 2025-3-31 22:27:56 | 只看該作者
De kwetsbare ouderdom & systeemvisie,nge of problems. To be worthwhile, such a combination should outperform all of the constituent heuristics. In this paper we describe a novel messy-GA-based approach that learns such a heuristic combination for solving one-dimensional bin-packing problems. When applied to a large set of benchmark pro
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