Improving Performance of Differential Evolution Using Multi-Population Ensemble Concept
Aadil Bashir,
Qamar Abbas,
Khalid Mahmood
et al.
Abstract:Differential evolution (DE) stands out as a straightforward yet remarkably powerful evolutionary algorithm employed for real-world problem-solving purposes. In the DE algorithm, few parameters are used, and the population is evolved by applying various operations. It is difficult in evolutionary computation algorithms to maintain population diversity. The main issue is the sub-population of the DE algorithm that helps improve convergence speed and escape from the local optimum. Evolving sub-populations by main… Show more
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