A Hybrid of Bee Colony Optimization and Genetic Algorithm for Task Allocation in Multi-Core Systems to Minimize Makespan
A novel hybrid approach combining Bee Colony Optimization and Genetic Algorithm for efficient task scheduling in multi-core processor systems that leverages the global exploration capabilities of BCO and the exploitation strengths of GA to achieve optimal task-to-core assignments while minimizing makespan and balancing system load is proposed.