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Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), and Ant Colony System (ACS) are four of the main algorithms for solving challenging problems of intelligent systems. In this paper, these four techniques and three novel hybrid combinations of them are proposed to mammogram segmentation. The novel hybrid algorithms consist of a Sequential TS-ACS, a Hybrid ACS/TS, and a Sequential...
This paper proposes a novel combinational approach for statistical de-noising and segmentation of 3D magnetic resonance images (MRIs) of the brain. The proposed method is based on Markov Random Field (MRF), conjunction with simulated annealing (SA) and improved genetic algorithm (IGA). MRF methods have been widely studied for segmentation. Despite the Markovianity which depicts the local characteristic,...
This paper presents the application of three intelligent optimization techniques for optimal design and analysis of a dc-dc converter with synchronous rectification which is often used in battery charge/discharge circuits in dc uninterruptible power supply systems. Converter models for simulation are designed for the forward and backup modes of operation. The results are analyzed and compared with...
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