A Framework for Budget Allocation and Optimization Using Particle Swarm Optimization
Keshav Sinha, Annu Priya, Moumita Khowas · Advances in intelligent systems and computing · 2016
One of the most frequently encountered problems in the real world financial sector is Budget Allocation. Budget Allocation keeps in line the planning of the actual operations by managing concern problem before they arise. A given budget information supports the development operations of managing, planning and controlling aspects of any given setup. There are several conventional technique for budget allocation like OCBA, EA, MOCBA, etc. For large scale budgeting problem the performance of conventional technique degrades. We like to propose an evolutionary computing based infrastructure for Budget Allocation and Optimization and make a comparative performance analysis on Particle Swarm Optimization (PSO) based Optimal Computing Budget Allocation (OCBA) and PSO based Equal Allocation (EA).