Vector database management systems support semantic search, recommendation, and retrieval-augmented generation, but many available deployments assume cloud infrastructure, specialist accelerators, or server-scale memory. This creates a practical problem for students, researchers, and small development teams who need re...
U. Opara, E. O. Bennett, C. Igiri· International journal of re...· 0 citations
The experimental findings indicate that the combined strategy achieves shorter execution times, better scalability as workload increases, and a noticeable reduction in task failure rates, suggesting that integrating evolutionary and swarm-based optimization mechanisms can provide a practical and robust solution for imp...
Folashade Christiana Adu, C. Igiri, Ogbolotuo Imumesen Solomon et al.· Journal of Artificial Intell...· 0 citations
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...
C. Igiri, Victor Peters, Igu Ajumoke Elizabeth· Journal of Artificial Intell...· 0 citations
Efficient energy scheduling in heterogeneous computing environments is a critical challenge, as task allocation decisions directly affect both energy consumption and execution performance. This work presents an energy aware scheduling framework based on a discretized grasshopper optimization algorithm (GOA), designed t...
Macauley Opuwari, C. Igiri, D. Ikeh· International Journal Of Eng...· 0 citations
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