DWT-Based Ant Colony Optimization for Edge Detection - Muhammad, Aminu
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Evolutionary Optimization has attracted many researchers to use it in solving many optimization problems that have no trivial solutions. Some of these techniques include; Genetic Algorithms (GA), Simulated Annealing (SA), Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), etc. This book covers; The comparison of GA, SA, ABC and ACO in TSP, ACO algorithm for Edge Detection, DWT-Based ACO algorithm for Edge Detection, DWT Sub-Band fusion using ACO for Edge Detection, Summary and discussions.

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Produktbeschreibung
Evolutionary Optimization has attracted many researchers to use it in solving many optimization problems that have no trivial solutions. Some of these techniques include; Genetic Algorithms (GA), Simulated Annealing (SA), Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), etc. This book covers; The comparison of GA, SA, ABC and ACO in TSP, ACO algorithm for Edge Detection, DWT-Based ACO algorithm for Edge Detection, DWT Sub-Band fusion using ACO for Edge Detection, Summary and discussions.
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Autorenporträt
Aminu Muhammad was born in Gano, Dawakin-kudu L.G.A., Kano, Nigeria. He holds M.Sc. from Mevlana University, Konya, Turkey in Electrical Engineering and B.Eng. from Kano University of Science and Technology, Wudil, Kano, Nigeria in Electrical Engineering. His major areas of specialization are: Evolutionary Algorithms and Digital Image Processing.