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An attempt has been made in the paper to find globally optimal cluster centers for remote-sensed images with the proposed Rapid Genetic k-Means algorithm. The idea is to avoid the expensive crossover or fitness to produce valid clusters in pure GA and to improve the convergence time. The drawback of using pure GA in the problem is the usage of an expensive crossover or fitness to produce valid clusters...
One of the important issues in the design of fuzzy classifier is the formation of fuzzy if-then rules and the membership functions. This paper presents a Niched Pareto Genetic Algorithm (NPGA) approach to obtain the optimal rule-set and the membership function. To develop the fuzzy system the rule set and the membership functions are encoded into the chromosome and evolved simultaneously using NPGA...
In the design of electrical machinery, direct search methods of conventional optimization techniques are widely used. In the recent years, Genetic Algorithm (GA) has been successfully applied to the design optimization of electromagnetic devices and electrical machinery. In this paper, an optimal design method to optimize the cost of three phase Induction Motor (IM) is presented. The motor design...
Tracking of a ballistic target in its reentry phase by considering the radar measurements is a highly complex problem in nonlinear filtering. Kalman Filter (KF) is used to estimate the positions of the target when the measurements are corrupted with noise. If the measurements (range and bearing) are nonlinear then Unscented Kalman filter (UKF) can be used. For obtaining reliable estimate of the target...
An approach to detection of phishing hyperlinks using the rule based system formed by genetic algorithm is proposed, which can be utilized as a part of an enterprise solution to anti-phishing. A legitimate webpage owner can use this approach to search the web for suspicious hyperlinks. In this approach, genetic algorithm is used to evolve rules that are used to differentiate phishing link from legitimate...
The field of digital systems has undergone a major revolution in recent decades. Circuits are shrinking in physical size while growing both in speed and range of capabilities. This rapid advancement is not without serious problems, however. Especially worrisome are verification and testing, which become more important as the system complexity increases and time-to-market decreases. Genetic algorithms...
An improved Clonal selection algorithm based Artificial Immune System (AIS) is given for solving Job Shop Scheduling Problem (JSSP). To reduce the optimal solution search space, a bio inspired positive selection principle is proposed to populate the initial antigen library. This proposed algorithm gives the better start up and faster converging towards the optimal solution for the given JSSP. The...
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