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Due to increasing concern over global climate change, renewable energy sources, particularly wind turbine based generation systems are gaining more attention to meet the targets of emissions reduction. Combined economic load dispatch (ELD) and economic emission dispatch (EED) involves the simultaneous optimization of fuel cost and emission (CEED). This bi-objective CEED problem is converted into a...
In this paper, a novel approach for feature extraction from natural image such as plant leaf is proposed for automated living plant species recognition useful for botanical students in their research for plant species identification. A new multi-resolution and multidirectional Curvelet transform is applied on subdivided leaf images to extract leaf information, mathematically so that the orientation...
Although a number of nature inspired algorithms exist in literature to solve optimization problems, yet there is always a need of new algorithm which can search for optimum solution in minimum time. This paper proposes a new optimization algorithm for solving optimization problems. Proposed algorithm has been compared with existing algorithm like Genetic Algorithm, Particle swarm Optimization on benchmark...
Conventional clustering techniques like FCM, K-Means, Mountain clustering etc. face the main problem of excessive data while dealing with the very big size images. Due to higher order dependency of clustering techniques on the number of data points, time complexity increases excessively while dealing with very large size images. This paper proposes an advanced version of mountain clustering technique,...
Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the belonging status of object to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “fuzzy hierarchical...
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