The (1+1)-EA in Dynamic Environments: Extended Version

Key Points

• This paper aims to provide comprehensive proofs and additional findings related to the (1+1) evolutionary algorithm in dynamic settings.
• Expanded the original conference paper to include full proofs.
• Included additional analyses that were previously omitted.
• Utilized theoretical frameworks to assess algorithm performance.
• Provided detailed proofs enhancing understanding of algorithm behavior.
• Presented new results clarifying the effectiveness of the (1+1) EA in changing environments.