May 31, 2024 · In this paper, we propose an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution ...

Jul 15, 2023 · The differential evolution algorithm is a meta-heuristic algorithm with the advantages of a simple structure, few control parameters, ...

The main parameters that affect the performance of a differential evolution algorithm are the scaling factor, crossover rate, and population size.

Jun 29, 2022 · The improved algorithm includes adaptive optimization scaling factor and crossover factor, proposes an adaptive mutation operator based on ...

Sep 19, 2013 · In this paper, we propose an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution ...

May 14, 2013 · An alternative adaptive differential evolutionary Algorithm assisted by Expected Improvement criterion and cut-HDMR expansion and its ...

In this paper, we introduce a new algorithm named the adaptive differential evolution with ensembling populations. In the proposed algorithm, two sets of ...

Jul 18, 2011 · Many papers show that Differential Evolution (DE) outperforms Genetic Algorithms (GA) on a variety of problems: why don't more people use it?

Nov 29, 2018 · DE's mutation operator first computes the vector between two random members of the population, then adds that vector to a third random member of ...

The self- adaptive update strategy is used to adjust the scaling factor and crossover factor for making the parameter sensitivity of DE algorithm and ...