An enhanced hybrid artificial bee colony and genetic algorithm for multi-objective workflow scheduling in the cloud

Key Points

• Improved scheduling reduces operational costs and processing time compared to traditional methods.
• The hybrid artificial bee colony combined with genetic algorithm shows a notable 25% enhancement in efficiency.
• Analysis of multi-objective optimization techniques for scheduling tasks in cloud environments benefits efficiency.
• These findings suggest the potential for better resource management in cloud computing.