Using grid computing to accelerate optimization solution: A system of systems approach

This paper presents a system of systems approach to implement high-speed searching to solve complex optimization problems. In most optimization techniques, parallel computation is not effective due to the complexity in algorithm. Here, the search space is distributed within processing power of high performance computing resources. The methodology takes advantage of the Bees Algorithm and adapts it for best performance in a cluster grid computing environment. The effectiveness of the approach is verified by solving the problem of efficiency in a power plant by economizing fuel cost, efficiency of transmission losses and environmental hazardous emissions.