Publications
Code · Code Ocean · July 20, 2026
LIWSA-Task: Density-Adaptive Locust-Inspired Swarm Optimization with Self-Supervised Regression Warm-Start for Pareto-Efficient Multi-Cloud Task Scheduling
Yousef A. Alsaaidah, Abdullah Muhammed, Mohammed Alaa Ala’anzy, Mohamed Othman, Azizol Abdullah
Abstract
A Pareto-efficient multi-cloud task scheduling framework featuring LIWSA (Density-Adaptive Locust-Inspired Swarm Optimization) enhanced by a self-supervised regression warm-start mechanism to optimize performance, cost, and resource utilization across heterogeneous cloud environments.
Cloud Computing and Resource ManagementMetaheuristic Optimization Algorithms ResearchDistributed and Parallel Computing SystemsPareto optimalityswarm intelligence optimizationwarm-start initialization
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