Titlebook: Harmony Search Algorithm; Proceedings of the 3 Javier Del Ser Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Evolution

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Application of Self-adaptive Method in Multi-objective Harmony Search Algorithmbeen released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-

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A Novel Grouping Harmony Search Algorithm for Clustering Problemsformation retrieval becomes crucial for further data analysis. In this context, clustering approaches aim at obtaining a good partition of the data based on multiple criteria. One of the most challenging aspects of clustering techniques is the inference of the optimal number of clusters. In this reg

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A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analyticslled in a truck. The platform consists of a Complex Event Processing (CEP) engine capable of triggering alarms from a predefined set of rules. In general these rules are characterized by multiple parameters, for which finding their optimal value usually yields a challenging task. In this paper we ex

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Numerical Solution of Boundary Value Problems Using Artificial Neural Networks and Harmony Search problems (BVPs), which evolves in most of the science and engineering applications. An approximate trial solution of the BVPs is constructed in terms of ANN in a way that it satisfies the desired boundary conditions of the differential equation (DE) a utomatically. Approximate satisfaction of the t