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In this paper, an approach to optimization of semantic image analysis is presented by employing genetic algorithm coupled with ontologies. Ontologies are used to interpret the image in machine understandable language. High-level information is represented in the form of interested domain concepts chosen and the low level information in the form of low level visual descriptors. These low level descriptors...
Increased reliability issues for terrestrial power systems are pushing more and more animation down to the distribution system. Additionally shipboard power systems have reconfiguration requirements to meet survivability and fight through capabilities. In each of these cases intelligent systems provide a solution for developing reconfiguration algorithms at the distribution level. While the objectives...
Deregulation creates competition amongst generator companies. The generator company objectives are to maximize their profit and to place proper bids in the market. In order to do this they need to determine the schedule and operating points based on the load and price forecasts. The traditional unit commitment problem aims at minimizing the cost of operation subject to fulfillment of demand. However...
The paper presents a distributed genetic algorithm implementation for obtaining good quality consistent results for different ordering problems. Most importantly, the solution found by the proposed Distributed GA is not only of high quality but also robust and does not require fine tuning of the probabilities of crossover and mutation. In addition, implementation of the Distributed GA is simple and...
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