Estimation of distribution algorithms (EDAs) offer a novel evolutionary paradigm that constitutes a natural and attractive alternative to genetic algorithms.
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What is the estimation of distribution algorithm?
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The estimation of distribution algorithm (EDA) is a population based evolutionary algorithm in which the statistics of the population are maintained at each ...
In this paper, the information of former probability is introduced to avoid premature convergence , and the information of inferior individuals is used to ...
Estimation of Distribution Algorithms have proven to be stable and reliable locating solutions on the reference Pareto front. Abstract. Selecting the ...
ECGA uses model complexity and population complexity to measure the quality of the marginal distribution. It can cover any number of interactions among ...
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May 26, 2014 · The algorithm is simulated through the widely used knapsack examples, the results verify the validity of the proposed method,and give suggestion ...
Feb 14, 2024 · This paper reviews how the estimation of distribution algorithms, a kind of evolutionary algorithm, can be used to address these problems.
Feb 27, 2024 · The developed approach makes use of an emerging set of evolutionary algorithms called estimation of distribution algorithms. The analysis of ...
Abstract—Estimation-of-distribution algorithms (EDAs) are randomized search heuristics that create a probabilistic model of the solution space, ...
Feb 6, 2023 · This section studies two alternatives to make use of the ancestral order de- fined by the interaction graph to solve a bi-objective NRP. A ...